Author: "Eugenia Hesse" - Searchworks@Jio Institute Digital Library Search Results

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32 results on '"Eugenia Hesse"'

1. Allostatic-interoceptive anticipation of social rejection

Author: Joaquín Migeot, Eugenia Hesse, Sol Fittipaldi, Jhonny Mejía, Matías Fraile, Adolfo M. García, María del Carmen García, Rodrigo Ortega, Brian Lawlor, Vladimir Lopez, and Agustín Ibáñez
Subjects: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Anticipating social stress evokes strong reactions in the organism, including interoceptive modulations. However, evidence for this claim comes from behavioral studies, often with inconsistent results, and relates almost solely to the reactive and recovery phase of social stress exposure. Here, we adopted an allostatic-interoceptive predictive coding framework to study interoceptive and exteroceptive anticipatory brain responses using a social rejection task. We analyzed the heart-evoked potential (HEP) and task-related oscillatory activity of 58 adolescents via scalp EEG, and 385 human intracranial recordings of three patients with intractable epilepsy. We found that anticipatory interoceptive signals increased in the face of unexpected social outcomes, reflected in larger negative HEP modulations. Such signals emerged from key brain allostatic-interoceptive network hubs, as shown by intracranial recordings. Exteroceptive signals were characterized by early activity between 1-15 Hz across conditions, and modulated by the probabilistic anticipation of reward-related outcomes, observed over distributed brain regions. Our findings suggest that the anticipation of a social outcome is characterized by allostatic-interoceptive modulations that prepare the organism for possible rejection. These results inform our understanding of interoceptive processing and constrain neurobiological models of social stress.
Published: 2023
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2. Behavioural insights (BI) for childhood development and effective public policies in Latin America: a survey and a randomised controlled trial

Author: Andrea A Tomio, Martin Dottori, Eugenia Hesse, Fernando Torrente, Daniel Flichtentrei, and Agustin M Ibanez
Subjects: Medicine
Abstract: Objectives We developed (a) a survey to investigate the knowledge of childhood health experts on public policies and behavioural insights (BI), as well as its use in Latin American and the Caribbean countries (LACs), and (b) an intervention (randomised controlled trial) to test the influence of nudges on the effect of a simulated public health programme communication.Participants and settings A total of 2003 LACs childhood health professionals participated in the study through a Hispanic online platform.Primary and secondary outcomes We used regression models analysing expertise-related information, individual differences and location. We extracted several outcome variables related to (a) ‘Public Policy Knowledge Index’ based on the participants’ degree of knowledge on childhood health public policies and (b) BI knowledge, perceived effectiveness and usefulness of a simulated public programme communication. We also analysed a ‘Behavioural Insights Knowledge Index’ (BIKI) based on participants’ performance in BI questions.Results In general, health professionals showed low BI knowledge (knowledge of the term BI: χ2=210.29, df=1 and p
Published: 2021
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3. Uncovering social-contextual and individual mental health factors associated with violence via computational inference

Author: Hernando Santamaría-García, Sandra Baez, Diego Mauricio Aponte-Canencio, Guido Orlando Pasciarello, Patricio Andrés Donnelly-Kehoe, Gabriel Maggiotti, Diana Matallana, Eugenia Hesse, Alejandra Neely, José Gabriel Zapata, Winston Chiong, Jonathan Levy, Jean Decety, and Agustín Ibáñez
Subjects: violence, social adversity, social resources, mental health, mental disorders, personality traits, Computer software, QA76.75-76.765
Abstract: Summary: The identification of human violence determinants has sparked multiple questions from different academic fields. Innovative methodological assessments of the weight and interaction of multiple determinants are still required. Here, we examine multiple features potentially associated with confessed acts of violence in ex-members of illegal armed groups in Colombia (N = 26,349) through deep learning and feature-derived machine learning. We assessed 162 social-contextual and individual mental health potential predictors of historical data regarding consequentialist, appetitive, retaliative, and reactive domains of violence. Deep learning yields high accuracy using the full set of determinants. Progressive feature elimination revealed that contextual factors were more important than individual factors. Combined social network adversities, membership identification, and normalization of violence were among the more accurate social-contextual factors. To a lesser extent the best individual factors were personality traits (borderline, paranoid, and antisocial) and psychiatric symptoms. The results provide a population-based computational classification regarding historical assessments of violence in vulnerable populations. The bigger picture: We assessed a comprehensive group of social-contextual and individual mental health factors to classify confessed acts of violence committed in the past among a large sample of Colombian ex-members of illegal armed groups (N = 26,349). We used a novel data-driven approach to classify subjects based on four confessed domains of violence (DoVs) and including two groups, (1) ex-members who admitted violent acts and (2) ex-members who denied violence in each DoV, matched by sex, age, and education stage. We found that accurate classification required both social-contextual and individual mental health factors, although the social-contextual factors were the most relevant. Our study provides population-based evidence on the factors associated with historical assessments of violence and describes a powerful analytical approach. This study opens up a new agenda for developing computational approaches for situated, multidimensional, and evidence-based assessments of violence.
Published: 2021
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4. A multidimensional and multi-feature framework for cardiac interoception

Author: Sol Fittipaldi, Sofía Abrevaya, Alethia de la Fuente, Guido Orlando Pascariello, Eugenia Hesse, Agustina Birba, Paula Salamone, Malin Hildebrandt, Sofía Alarco Martí, Ricardo Marcos Pautassi, David Huepe, Miquel Martorell Martorell, Adrián Yoris, María Roca, Adolfo M. García, Lucas Sedeño, and Agustín Ibáñez
Subjects: Interoception, Heartbeat detection task, Cardiac frequency, Heart-evoked potential, Functional connectivity, Emotion, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies in the field might reflect the caveats of standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we profit from a novel IA index (md) to provide a convergent multidimensional and multi-feature approach to cardiac interoception. We found that outcomes from our IA-md index are associated with –and predicted by– canonical markers of interoception, including the hd-EEG-derived heart-evoked potential (HEP), fMRI functional connectivity within interoceptive hubs (insular, somatosensory, and frontal networks), and socio-emotional skills. Importantly, these associations proved more robust than those involving current IA indexes. Furthermore, this pattern of results persisted when taking into consideration confounding variables (gender, age, years of education, and executive functioning). This work has relevant theoretical and clinical implications concerning the characterization of cardiac interoception and its assessment in heterogeneous samples, such as those composed of neuropsychiatric patients.
Published: 2020
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5. BIOMARCADORES ASEQUIBLES DE DEMENCIA FRONTOTEMPORAL: UN ESTUDIO DE CLASIFICACIÓN BASADO EN LA CONECTIVIDAD DE REDES CEREBRALES

Author: Martín Dottori, Lucas Sedeño, Miguel Martorell Caro, Florencia Alifano, Eugenia Hesse, Ezequiel Mikulan, Adolfo M. García, Marcela Contreras-Torregrosa, Edinson Muñoz, Amparo Ruiz-Tagle, Patricia Lillo, Andrea Slachevsky, Cecilia Serrano, Daniel Fraiman, and Agustín Ibáñez
Subjects: biomarcadores de demencia, demencia frontotemporal variante conductual (vcdft), electroencefalografía (eeg), conectividad funcional, reporte de investigación, Medicine, Internal medicine, RC31-1245, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Philosophy. Psychology. Religion, Psychology, BF1-990
Abstract: El desarrollo de biomarcadores de demencias efectivos y asequibles resulta esencial dada la dificultad de realizar un diagnóstico temprano de estas patologías. En este sentido, los métodos de electroencefalografía (EEG) brindan alternativas promisorias por su bajo costo, portabilidad y creciente robustez. En este trabajo, nos basamos en señales de EEG y en un novedoso método de intercambio de información para estudiar la conectividad en estado de reposo en pacientes afectados por la variante conductual de la demencia frontotemporal (vcDFT) y en un grupo control. Para evaluar la especificidad de los resultados obtenidos, también examinamos pacientes que padecen la enfermedad de Alzheimer (EA). El poder de clasificación de los patrones de conectividad resultantes se evaluó mediante un algoritmo de clasificación supervisada (máquina de soporte vectorial). Además, comparamos el poder de clasificación obtenido mediante (i) la conectividad funcional, (ii) una batería de pruebas neuropsicológicas pertinentes y (iii) la combinación de ambos. Los pacientes con vcDFT mostraron un patrón de hipoconectividad específico en conexiones frontotemporales de proximidad media, que no mostraron alteraciones en los pacientes con EA. Estas alteraciones en la conectividad funcional en la vcDFT se replicaron mediante EEG de baja densidad (20 electrodos). Por otra parte, mientras que las pruebas neuropsicológicas llevaron a una discriminación aceptable entre los pacientes con vcDFT y los del grupo control, la adición de los resultados de conectividad aumentó el poder de clasificación. Finalmente, la clasificación entre los pacientes con vcDFT y los con EA fue mejor cuando se usó como base la conectividad que cuando se usaron las pruebas neuropsicológicas. En conjunto, estos hallazgos enfatizan la relevancia de las mediciones EEG como biomarcadores de potencial aplicación clínica.
Published: 2019

6. Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreters

Author: Martin Dottori, Eugenia Hesse, Micaela Santilli, Martina G. Vilas, Miguel Martorell Caro, Daniel Fraiman, Lucas Sedeño, Agustín Ibáñez, and Adolfo M. García
Subjects: Bilingualism, Simultaneous interpreting, Expertise, Lexical processing, Electroencephalography, Oscillatory activity, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Insights on the neurocognitive particularities of expert individuals have benefited from language studies on professional simultaneous interpreters (PSIs). Accruing research indicates that behavioral advantages in this population are restricted to those skills that are directly taxed during professional practice (e.g., translation as opposed to reading), but little is known about the neural signatures of such selective effects. To illuminate the issue, we recruited 17 PSIs and 15 non-interpreter bilinguals and compared behavioral and electrophysiological markers of word reading and translation from and into their native and non-native languages (L1 and L2, respectively). PSIs exhibited greater delta-theta (1–8 Hz) power across all tasks over varying topographies, but these were accompanied by faster performance only in the case of translation conditions. Moreover, neural differences in PSIs were most marked for L2-L1 translation (the dominant interpreting direction in their market), which exhibited maximally widespread modulations that selectively correlated with behavioral outcomes. Taken together, our results suggest that interpreting experience involves distinct neural signatures across reading and translation mechanisms, but that these are systematically related with processing efficiency only in domains that face elevated demands during everyday practice (i.e., L2-L1 translation). These findings can inform models of simultaneous interpreting, in particular, and expert cognitive processing, in general.
Published: 2020
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7. Towards affordable biomarkers of frontotemporal dementia: A classification study via network’s information sharing

Author: Martin Dottori, Lucas Sedeño, Miguel Martorell Caro, Florencia Alifano, Eugenia Hesse, Ezequiel Mikulan, Adolfo M. García, Amparo Ruiz-Tagle, Patricia Lillo, Andrea Slachevsky, Cecilia Serrano, Daniel Fraiman, and Agustin Ibanez
Subjects: Medicine, Science
Abstract: Abstract Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer’s disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings.
Published: 2017
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8. The power of knowledge about dementia in Latin America across health professionals working on aging

Author: Agustin Ibanez, Daniel Flichtentrei, Eugenia Hesse, Martin Dottori, Ailin Tomio, Andrea Slachevsky, Cecilia M Serrano, Christian Gonzalez‐Billaut, Nilton Custodio, Claudia Miranda, Julian Bustin, Marcelo Cetckovitch, Fernando Torrente, Loreto Olavarria, Tomas Leon, Barbara Costa Beber, Sonia Bruki, Claudia K. Suemoto, Ricardo Nitrini, Bruce L. Miller, and Jennifer S. Yokoyama
Subjects: behavioral insights, data‐sharing platforms, diagnosis manuals, expert knowledge, Latin American and Caribbean countries, public policy, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract: Abstract Introduction Expert knowledge is critical to fight dementia in inequitable regions like Latin American and Caribbean countries (LACs). However, the opinions of aging experts on public policies’ accessibility and transmission, stigma, diagnostic manuals, data‐sharing platforms, and use of behavioral insights (BIs) are not well known. Methods We investigated opinions among health professionals working on aging in LACs (N = 3365) with regression models including expertise‐related information (public policies, BI), individual differences (work, age, academic degree), and location. Results Experts specified low public policy knowledge (X2 = 41.27, P
Published: 2020
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9. Attention, in and Out: Scalp-Level and Intracranial EEG Correlates of Interoception and Exteroception

Author: Indira García-Cordero, Sol Esteves, Ezequiel P. Mikulan, Eugenia Hesse, Fabricio H. Baglivo, Walter Silva, María del Carmen García, Esteban Vaucheret, Carlos Ciraolo, Hernando S. García, Federico Adolfi, Marcos Pietto, Eduar Herrera, Agustina Legaz, Facundo Manes, Adolfo M. García, Mariano Sigman, Tristán A. Bekinschtein, Agustín Ibáñez, and Lucas Sedeño
Subjects: interoception, exteroception, interoceptive learning, heart evoked potential, intracranial recordings, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Interoception, the monitoring of visceral signals, is often presumed to engage attentional mechanisms specifically devoted to inner bodily sensing. In fact, most standardized interoceptive tasks require directing attention to internal signals. However, most studies in the field have failed to compare attentional modulations between internally- and externally-driven processes, thus probing blind to the specificity of the former. Here we address this issue through a multidimensional approach combining behavioral measures, analyses of event-related potentials and functional connectivity via high-density electroencephalography, and intracranial recordings. In Study 1, 50 healthy volunteers performed a heartbeat detection task as we recorded modulations of the heartbeat-evoked potential (HEP) in three conditions: exteroception, basal interoception (also termed interoceptive accuracy), and post-feedback interoception (sometimes called interoceptive learning). In Study 2, to evaluate whether key interoceptive areas (posterior insula, inferior frontal gyrus, amygdala, and somatosensory cortex) were differentially modulated by externally- and internally-driven processes, we analyzed human intracranial recordings with depth electrodes in these regions. This unique technique provides a very fine grained spatio-temporal resolution compared to other techniques, such as EEG or fMRI. We found that both interoceptive conditions in Study 1 yielded greater HEP amplitudes than the exteroceptive one. In addition, connectivity analysis showed that post-feedback interoception, relative to basal interoception, involved enhanced long-distance connections linking frontal and posterior regions. Moreover, results from Study 2 showed a differentiation between oscillations during basal interoception (broadband: 35–110 Hz) and exteroception (1–35 Hz) in the insula, the amygdala, the somatosensory cortex, and the inferior frontal gyrus. In sum, this work provides convergent evidence for the specificity and dynamics of attentional mechanisms involved in interoception.
Published: 2017
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10. Enhanced Working Memory Binding by Direct Electrical Stimulation of the Parietal Cortex

Author: Agustina Birba, Eugenia Hesse, Lucas Sedeño, Ezequiel P. Mikulan, María del C. García, Juan Ávalos, Federico Adolfi, Agustina Legaz, Tristán A. Bekinschtein, Máximo Zimerman, Mario Parra, Adolfo M. García, and Agustín Ibáñez
Subjects: working memory binding, Alzhimer’s disease, direct electrical stimulation, short term memory, single case study, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Recent works evince the critical role of visual short-term memory (STM) binding deficits as a clinical and preclinical marker of Alzheimer’s disease (AD). These studies suggest a potential role of posterior brain regions in both the neurocognitive deficits of Alzheimer’s patients and STM binding in general. Thereupon, we surmised that stimulation of the posterior parietal cortex (PPC) might be a successful approach to tackle working memory deficits in this condition, especially at early stages. To date, no causal evidence exists of the role of the parietal cortex in STM binding. A unique approach to assess this issue is afforded by single-subject direct intracranial electrical stimulation of specific brain regions during a relevant cognitive task. Electrical stimulation has been used both for clinical purposes and to causally probe brain mechanisms. Previous evidence of electrical currents spreading through white matter along well defined functional circuits indicates that visual working memory mechanisms are subserved by a specific widely distributed network. Here, we stimulated the parietal cortex of a subject with intracranial electrodes as he performed the visual STM task. We compared the ensuing results to those from a non-stimulated condition and to the performance of a matched control group. In brief, direct stimulation of the parietal cortex induced a selective improvement in STM. These results, together with previous studies, provide very preliminary but promising ground to examine behavioral changes upon parietal stimulation in AD. We discuss our results regarding: (a) the usefulness of the task to target prodromal stages of AD; (b) the role of a posterior network in STM binding and in AD; and (c) the potential opportunity to improve STM binding through brain stimulation.
Published: 2017
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11. Unsupervised Morphological Segmentation for Detecting Parkinson's Disease.

Author: Elif Eyigöz, Pablo Polosecki, Adolfo M. García, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustín Ibáñez, and Guillermo A. Cecchi
Published: 2018

12. Intracranial high-γ connectivity distinguishes wakefulness from sleep.

Author: Ezequiel Mikulan, Eugenia Hesse, Lucas Sedeño, Tristán Bekinschtein, Mariano Sigman, María del Carmen García, Walter Silva, Carlos Ciraolo, Adolfo M. García, and Agustín Ibáñez
Published: 2018
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13. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

Author: Tomislav Pavlović, Flavio Azevedo, Koustav De, Julián C Riaño-Moreno, Marina Maglić, Theofilos Gkinopoulos, Patricio Andreas Donnelly-Kehoe, César Payán-Gómez, Guanxiong Huang, Jaroslaw Kantorowicz, Michèle D Birtel, Philipp Schönegger, Valerio Capraro, Hernando Santamaría-García, Meltem Yucel, Agustin Ibanez, Steve Rathje, Erik Wetter, Dragan Stanojević, Jan-Willem van Prooijen, Eugenia Hesse, Christian T Elbaek, Renata Franc, Zoran Pavlović, Panagiotis Mitkidis, Aleksandra Cichocka, Michele Gelfand, Mark Alfano, Robert M Ross, Hallgeir Sjåstad, John B Nezlek, Aleksandra Cislak, Patricia Lockwood, Koen Abts, Elena Agadullina, David M Amodio, Matthew A J Apps, John Jamir Benzon Aruta, Sahba Besharati, Alexander Bor, Becky Choma, William Cunningham, Waqas Ejaz, Harry Farmer, Andrej Findor, Biljana Gjoneska, Estrella Gualda, Toan L D Huynh, Mostak Ahamed Imran, Jacob Israelashvili, Elena Kantorowicz-Reznichenko, André Krouwel, Yordan Kutiyski, Michael Laakasuo, Claus Lamm, Jonathan Levy, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, Andreas Olsson, Tobias Otterbring, Dominic Packer, Jussi Palomäki, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Tobias Rothmund, Petra C Schmid, David Stadelmann, Augustin Stoica, Drozdstoy Stoyanov, Kristina Stoyanova, Shruti Tewari, Bojan Todosijević, Benno Torgler, Manos Tsakiris, Hans H Tung, Radu Gabriel Umbreș, Edmunds Vanags, Madalina Vlasceanu, Andrew J Vonasch, Yucheng Zhang, Mohcine Abad, Eli Adler, Hamza Alaoui Mdarhri, Benedict Antazo, F Ceren Ay, Mouhamadou El Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E Booth, Sylvie Borau, Ondrej Buchel, Chrissie Ferreira de Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Luca Cian, Kate Cockcroft, Jane Conway, Mateo A Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Victoria H Davis, John Paul Minda, Pamala N Dayley, Sylvain Delouvée, Ognjan Denkovski, Guillaume Dezecache, Nathan A Dhaliwal, Alelie Diato, Roberto Di Paolo, Uwe Dulleck, Jānis Ekmanis, Tom W Etienne, Hapsa Hossain Farhana, Fahima Farkhari, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan Fugelsang, Jessica Gale, E Begoña García-Navarro, Prasad Garladinne, Kurt Gray, Siobhán M Griffin, Bjarki Gronfeldt, June Gruber, Eran Halperin, Volo Herzon, Matej Hruška, Matthias F C Hudecek, Ozan Isler, Simon Jangard, Frederik Jørgensen, Oleksandra Keudel, Lina Koppel, Mika Koverola, Anton Kunnari, Josh Leota, Eva Lermer, Chunyun Li, Chiara Longoni, Darragh McCashin, Igor Mikloušić, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Jonas P Nitschke, Matthew S Nurse, Victoria Oldemburgo de Mello, M Soledad Palacios-Galvez, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Silva Perander, Michael Pitman, Ali Raza, Gabriel Gaudencio Rêgo, Claire Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Waldir M Sampaio, Gaia Chiara Santi, David Schultner, Enid Schutte, Andy Scott, Ahmed Skali, Anna Stefaniak, Anni Sternisko, Brent Strickland, Jeffrey P Thomas, Gustav Tinghög, Iris J Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D Ungson, Mete Sefa Uysal, Dirk Van Rooy, Daniel Västfjäll, Joana B Vieira, Christian von Sikorski, Alexander C Walker, Jennifer Watermeyer, Robin Willardt, Michael J A Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A Zwaan, Paulo Sergio Boggio, Ashley Whillans, Paul A M Van Lange, Rajib Prasad, Michal Onderco, Cathal O'Madagain, Tarik Nesh-Nash, Oscar Moreda Laguna, Emily Kubin, Mert Gümren, Ali Fenwick, Arhan S Ertan, Michael J Bernstein, Hanane Amara, Jay Joseph Van Bavel, Brain and Cognition, Public Administration, Pavlovic, Tomislav, Avezedo, Flávio, De, Koustav, Maglić, Marina, Donnelly-Kehoe, Patricio Andreas, Payán-Gómez, César, Van Bavel, Jay J., Schmid, Petra Claudia, Crouzevialle, Marie, Willardt, Robin, et al., Ivo Pilar Institute of Social Sciences, University of Cambridge [UK] (CAM), University of Kentucky (UK), Universidad El Bosque [Bogota], University of Crete [Heraklion] (UOC), Universidad del Rosario [Bogota], Universidad Nacional de Colombia [Bogotà] (UNAL), City University of Hong Kong [Hong Kong] (CUHK), Universiteit Leiden, University of Greenwich, University of St Andrews [Scotland], Middlesex University [London], Pontifical Xavierian University, Duke University [Durham], Universidad Adolfo Ibáñez [Santiago], University of California (UC), Trinity College Dublin, Stockholm School of Economics (SSE), University of Belgrade [Belgrade], Vrije Universiteit Amsterdam [Amsterdam] (VU), Universidad Mayor de San Andrés (UMSA), Aarhus University [Aarhus], University of Kent [Canterbury], Stanford University, Macquarie University, Norwegian School of Economics and Business Administration, SWPS University of Social Sciences and Humanities (SWPS), University of Birmingham [Birmingham], University of Oxford, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] (HSE), University of Amsterdam [Amsterdam] (UvA), Sunway University [Malaysia], University of the Witwatersrand [Johannesburg] (WITS), University of Toronto, National University of Sciences and Technology [Islamabad] (NUST), Comenius University in Bratislava, Macedonian Academy of Sciences and Arts [Skopje, North Macedonia] (MASA), Universidad de Huelva, University of Southampton, BRAC University, The Hebrew University of Jerusalem (HUJ), Erasmus University Rotterdam, Kieskompas, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Vienna [Vienna], Reichman University [Herzliya], Aalto University, Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), National Taiwan University [Taiwan] (NTU), HEMS School, BI Norwegian Business School [Oslo], University of Limerick (UL), Karolinska Institutet [Stockholm], University of Agder (UIA), Lehigh University [Bethlehem], Monk Prayogshala, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Eidgenössische Technische Hochschule Zürich - Swiss Federal Institute of Technology in Zürich (ETH Zurïch), University of Bayreuth, National School of Political and Administrative Studies (SNSPA), Plovdiv University 'Paisii Hilendarski', Indian Institute of Management Indore (IMM Indore), Institute of Social Sciences Belgrade, Queensland University of Technology [Brisbane] (QUT), Royal Holloway [University of London] (RHUL), University of London [London], National University of Political Studies and Public Administration, University of Latvia (LU), New York University [New York] (NYU), NYU System (NYU), University of Canterbury [Christchurch], Hebei University of Technology [Tianjin], Université Mohammed VI Polytechnique [Ben Guerir] (UM6P), AnsuR Technologies [Fornebu], Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD), Victoria University [Melbourne], University of Wrocław [Poland] (UWr), IMT Institute for Advanced Studies [Lucca], Université de Florence, Università degli Studi di Firenze = University of Florence (UniFI), London School of Economics and Political Science (LSE), TBS Education, Slovak Academy of Science [Bratislava] (SAS), Santa Catarina State University (UDESC), University of Bologna/Università di Bologna, Tribhuvan University, Shenzhen Univerisity [Shenzhen], University of Virginia, Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), University of Western Ontario (UWO), Université de Rennes 2 (UR2), Laboratoire de Psychologie Sociale et Cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), University of British Columbia (UBC), University of Queensland [Brisbane], Pennsylvania State University (Penn State), Penn State System, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), The University of Sydney, University of Waterloo [Waterloo], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Colorado [Boulder], University of Regensburg, Kyiv School of economic (KSE), Linköping University (LIU), Monash University [Clayton], Ansbach University of Applied Sciences, Ludwig Maximilian University [Munich] (LMU), Department of Management - London School of Economics and Political Science (LSE), Questrom School of Business, Boston University [Boston] (BU), Dublin City University [Dublin] (DCU), University of Auckland [Auckland], Maria Curie-Sklodowska University (UMCS), City University of New York [New York] (CUNY), University of Alberta, Australian National University (ANU), University of Silesia in Katowice, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Zhejiang University, Mackenzie Presbyterian University [São Paulo] (UPM), NYU Department of Psychology [New-York University], NYU System (NYU)-NYU System (NYU), University of Turku, City College of New York [CUNY] (CCNY), University of Groningen [Groningen], Carleton University, Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Faculté de Gouvernance, Sciences Économiques et Sociales [UM6P] (FGSES), University College of London [London] (UCL), Susquehanna University, University of Antwerp (UA), University of Exeter, University of Koblenz-Landau, Nicolaus Copernicus University [Toruń], University of California [San Diego] (UC San Diego), Kyushu University, Kadir Has University (KHAS), Harvard Business School, Harvard University, Vidyasagar College For Women, Koç University, Hult International Business School, Boǧaziçi üniversitesi = Boğaziçi University [Istanbul], Penn State Abington, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Penn State System, Communication Science, Network Institute, Communication Choices, Content and Consequences (CCCC), Social Psychology, IBBA, A-LAB, University of St Andrews. Philosophy, University of St Andrews. School of Psychology and Neuroscience, Pavlović, Tomislav [0000-0002-4470-3715], Azevedo, Flavio [0000-0001-9000-8513], De, Koustav [0000-0001-9562-0672], Riaño-Moreno, Julián C [0000-0003-4182-0550], Maglić, Marina [0000-0002-6851-4601], Gkinopoulos, Theofilos [0000-0003-1070-6245], Donnelly-Kehoe, Patricio Andreas [0000-0002-3738-9537], Payán-Gómez, César [0000-0002-0633-1332], Huang, Guanxiong [0000-0002-8588-1454], Kantorowicz, Jaroslaw [0000-0002-1186-5427], Birtel, Michèle D [0000-0002-2383-9197], Schönegger, Philipp [0000-0001-9930-487X], Capraro, Valerio [0000-0002-0579-0166], Santamaría-García, Hernando [0000-0001-9422-3579], Yucel, Meltem [0000-0002-7274-5971], Ibanez, Agustin [0000-0001-6758-5101], Rathje, Steve [0000-0001-6727-571X], Wetter, Erik [0000-0002-5821-6651], Stanojević, Dragan [0000-0002-3667-2461], van Prooijen, Jan-Willem [0000-0001-6236-0819], Hesse, Eugenia [0000-0002-9077-9833], Elbaek, Christian T [0000-0002-7039-4565], Franc, Renata [0000-0002-1909-2393], Pavlović, Zoran [0000-0002-9231-5100], Mitkidis, Panagiotis [0000-0002-9495-7369], Cichocka, Aleksandra [0000-0003-1703-1586], Alfano, Mark [0000-0001-5879-8033], Ross, Robert M [0000-0001-8711-1675], Sjåstad, Hallgeir [0000-0002-8730-1038], Nezlek, John B [0000-0003-4963-3637], Cislak, Aleksandra [0000-0002-9880-6947], Lockwood, Patricia [0000-0001-7195-9559], Abts, Koen [0000-0001-8546-8347], Agadullina, Elena [0000-0002-1505-1412], Amodio, David M [0000-0001-7746-0150], Apps, Matthew AJ [0000-0001-5793-2202], Aruta, John Jamir Benzon [0000-0003-4155-1063], Besharati, Sahba [0000-0003-2836-7982], Bor, Alexander [0000-0002-2624-9221], Choma, Becky [0000-0002-8286-8983], Ejaz, Waqas [0000-0002-2492-4115], Farmer, Harry [0000-0002-3684-0605], Findor, Andrej [0000-0002-5896-6989], Gjoneska, Biljana [0000-0003-1200-6672], Gualda, Estrella [0000-0003-0220-2135], Huynh, Toan LD [0000-0002-6653-7447], Imran, Mostak Ahamed [0000-0002-5101-3149], Israelashvili, Jacob [0000-0003-1289-223X], Kantorowicz-Reznichenko, Elena [0000-0001-8128-7290], Krouwel, André [0000-0003-0952-6028], Kutiyski, Yordan [0000-0003-0889-4232], Laakasuo, Michael [0000-0003-2826-6073], Lamm, Claus [0000-0002-5422-0653], Levy, Jonathan [0000-0003-1007-2393], Leygue, Caroline [0000-0002-0355-1030], Lin, Ming-Jen [0000-0002-7174-2226], Mansoor, Mohammad Sabbir [0000-0002-6541-3506], Marie, Antoine [0000-0002-7958-0153], Mayiwar, Lewend [0000-0003-1404-4779], Mazepus, Honorata [0000-0002-5005-9399], McHugh, Cillian [0000-0002-9701-3232], Olsson, Andreas [0000-0001-5272-7744], Otterbring, Tobias [0000-0002-0283-8777], Packer, Dominic [0000-0001-8420-6548], Palomäki, Jussi [0000-0001-6063-0926], Perry, Anat [0000-0003-2329-856X], Petersen, Michael Bang [0000-0002-6782-5635], Puthillam, Arathy [0000-0003-2426-8362], Rothmund, Tobias [0000-0003-2979-5129], Schmid, Petra C [0000-0002-9990-5445], Stadelmann, David [0000-0002-1211-9936], Stoica, Augustin [0000-0003-0585-1114], Stoyanov, Drozdstoy [0000-0002-9975-3680], Stoyanova, Kristina [0000-0001-8362-6444], Tewari, Shruti [0000-0003-1903-7252], Todosijević, Bojan [0000-0002-6116-993X], Torgler, Benno [0000-0002-9809-963X], Tsakiris, Manos [0000-0001-7753-7576], Tung, Hans H [0000-0001-5332-7582], Umbreș, Radu Gabriel [0000-0002-6121-4518], Vanags, Edmunds [0000-0003-1932-936X], Vlasceanu, Madalina [0000-0003-2138-1968], Vonasch, Andrew J [0000-0002-2784-5420], Zhang, Yucheng [0000-0001-9435-6734], Abad, Mohcine [0000-0002-4964-5411], Adler, Eli [0000-0002-9005-5536], Mdarhri, Hamza Alaoui [0000-0001-9831-6561], Antazo, Benedict [0000-0001-9993-8960], Ay, F Ceren [0000-0003-4444-2268], Ba, Mouhamadou El Hady [0000-0002-2707-1242], Barbosa, Sergio [0000-0003-1989-158X], Bastian, Brock [0000-0003-4619-3322], Berg, Anton [0000-0001-7143-762X], Białek, Michał [0000-0002-5062-5733], Bilancini, Ennio [0000-0002-2027-3992], Bogatyreva, Natalia [0000-0002-6024-2322], Boncinelli, Leonardo [0000-0003-0626-5133], Booth, Jonathan E [0000-0002-8563-4613], Borau, Sylvie [0000-0003-1564-0695], Buchel, Ondrej [0000-0002-0139-5513], de Carvalho, Chrissie Ferreira [0000-0002-1369-6188], Celadin, Tatiana [0000-0002-7743-3117], Cerami, Chiara [0000-0003-1974-3421], Chalise, Hom Nath [0000-0002-9301-6890], Cian, Luca [0000-0002-8051-1366], Cockcroft, Kate [0000-0002-6166-8050], Conway, Jane [0000-0003-3883-349X], Córdoba-Delgado, Mateo A [0000-0002-2264-7388], Crespi, Chiara [0000-0002-7851-9887], Crouzevialle, Marie [0000-0002-5538-6030], Cutler, Jo [0000-0003-1073-764X], Cypryańska, Marzena [0000-0001-9234-562X], Dabrowska, Justyna [0000-0002-8821-7161], Davis, Victoria H [0000-0002-7207-4629], Minda, John Paul [0000-0002-4081-010X], Dayley, Pamala N [0000-0001-8955-9502], Delouvée, Sylvain [0000-0002-4029-597X], Denkovski, Ognjan [0000-0002-9739-4100], Dezecache, Guillaume [0000-0002-9366-6287], Dhaliwal, Nathan A [0000-0002-4667-0689], Di Paolo, Roberto [0000-0002-6081-6656], Dulleck, Uwe [0000-0002-0953-5963], Ekmanis, Jānis [0000-0003-1781-1785], Etienne, Tom W [0000-0002-4299-6593], Farkhari, Fahima [0000-0002-8484-5128], Fidanovski, Kristijan [0000-0002-9006-0140], Flew, Terry [0000-0003-4485-9338], Fraser, Shona [0000-0003-1505-0652], Frempong, Raymond Boadi [0000-0002-4603-5570], Fugelsang, Jonathan [0000-0002-6342-7023], Gale, Jessica [0000-0001-5677-8629], García-Navarro, E Begoña [0000-0001-6913-8882], Gray, Kurt [0000-0001-5816-2676], Griffin, Siobhán M [0000-0002-3613-2844], Gronfeldt, Bjarki [0000-0001-9941-7903], Gruber, June [0000-0002-7789-1353], Halperin, Eran [0000-0002-3379-2935], Herzon, Volo [0000-0001-7781-1651], Hruška, Matej [0000-0002-4521-3697], Hudecek, Matthias FC [0000-0002-7696-766X], Isler, Ozan [0000-0002-4638-2230], Jangard, Simon [0000-0002-7876-4161], Jørgensen, Frederik [0000-0002-5461-912X], Keudel, Oleksandra [0000-0001-6322-3103], Koppel, Lina [0000-0002-6302-0047], Koverola, Mika [0000-0001-8227-6120], Kunnari, Anton [0000-0002-2951-6399], Leota, Josh [0000-0002-7714-4630], Lermer, Eva [0000-0002-6600-9580], Li, Chunyun [0000-0001-5909-0889], Longoni, Chiara [0000-0002-4945-4957], McCashin, Darragh [0000-0003-2686-2111], Mikloušić, Igor [0000-0002-6539-2901], Monroy-Fonseca, César [0000-0003-4696-8159], Morales-Marente, Elena [0000-0002-1227-9606], Moreau, David [0000-0002-1957-1941], Muda, Rafał [0000-0003-4953-6642], Myer, Annalisa [0000-0002-2363-4757], Nash, Kyle [0000-0003-0461-3835], Nitschke, Jonas P [0000-0002-3244-8585], Nurse, Matthew S [0000-0003-1787-5914], de Mello, Victoria Oldemburgo [0000-0003-2867-8529], Palacios-Galvez, Maria Soledad [0000-0002-6802-6202], Pan, Yafeng [0000-0002-5633-8313], Papp, Zsófia [0000-0001-6257-0568], Pärnamets, Philip [0000-0001-8360-9097], Paruzel-Czachura, Mariola [0000-0002-8716-9778], Perander, Silva [0000-0001-6711-8079], Pitman, Michael [0000-0001-5532-5388], Raza, Ali [0000-0002-2438-6054], Rêgo, Gabriel Gaudencio [0000-0003-3304-4723], Robertson, Claire [0000-0001-8403-6358], Rodríguez-Pascual, Iván [0000-0002-5385-3643], Saikkonen, Teemu [0000-0001-9619-3270], Salvador-Ginez, Octavio [0000-0002-1652-8788], Sampaio, Waldir M [0000-0002-6066-4314], Santi, Gaia Chiara [0000-0002-9253-6122], Schultner, David [0000-0003-2253-4065], Schutte, Enid [0000-0002-6653-5409], Scott, Andy [0000-0002-3294-0078], Skali, Ahmed [0000-0002-4753-3280], Stefaniak, Anna [0000-0002-1706-7784], Sternisko, Anni [0000-0002-2507-3076], Strickland, Brent [0000-0002-7573-3722], Thomas, Jeffrey P [0000-0002-5939-5559], Tinghög, Gustav [0000-0002-8159-1249], Tucciarelli, Raffaele [0000-0002-0342-308X], Tyrala, Michael [0000-0001-5268-8319], Ungson, Nick D [0000-0003-2494-4498], Uysal, Mete Sefa [0000-0002-8698-9213], Van Rooy, Dirk [0000-0003-2525-5408], Västfjäll, Daniel [0000-0003-2873-4500], Vieira, Joana B [0000-0001-7335-4588], von Sikorski, Christian [0000-0002-3787-8277], Walker, Alexander C [0000-0003-1431-6770], Watermeyer, Jennifer [0000-0001-7918-8832], Willardt, Robin [0000-0002-2495-3450], Wohl, Michael JA [0000-0001-6945-5562], Wójcik, Adrian Dominik [0000-0002-7073-6019], Wu, Kaidi [0000-0001-6881-7437], Yamada, Yuki [0000-0003-1431-568X], Yilmaz, Onurcan [0000-0002-6094-7162], Yogeeswaran, Kumar [0000-0002-1978-5077], Ziemer, Carolin-Theresa [0000-0002-0794-7702], Zwaan, Rolf A [0000-0001-9967-7879], Boggio, Paulo Sergio [0000-0002-6109-0447], Van Lange, Paul AM [0000-0001-7774-6984], Prasad, Rajib [0000-0003-0913-1624], Onderco, Michal [0000-0001-9911-3782], O'Madagain, Cathal [0000-0002-4086-524X], Nesh-Nash, Tarik [0000-0002-5532-9095], Kubin, Emily [0000-0003-0606-8594], Gümren, Mert [0000-0002-3298-6295], Fenwick, Ali [0000-0002-5412-9745], Ertan, Arhan S [0000-0001-9730-8391], Bernstein, Michael J [0000-0002-8083-9839], Amara, Hanane [0000-0003-0732-2320], Van Bavel, Jay Joseph [0000-0002-2520-0442], Apollo - University of Cambridge Repository, Sociale Psychologie (Psychologie, FMG), ASCoR Other Research (FMG), Department of Neuroscience and Biomedical Engineering, Aalto-yliopisto, Department of Digital Humanities, Department of Psychology and Logopedics, Cognitive Science, High Performance Cognition group, Mind and Matter, and Department of Computer Science
Subjects: Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi, Economics, COVID-19, social distancing, hygiene, policy support, public health measures, J Political Science, [SHS.PSY]Humanities and Social Sciences/Psychology, psychology, Settore SECS-P/02 - Politica Economica, Q1, H Social Sciences, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], SDG 3 - Good Health and Well-being, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Machine learning, Psychology, Nationalekonomi, Settore SECS-P/01 - Economia Politica, MCC, Computer. Automation, Psykologi (exklusive tillämpad psykologi), DAS, Health Care Service and Management, Health Policy and Services and Health Economy, [SHS.SCIPO]Humanities and Social Sciences/Political science, Psychology (excluding Applied Psychology), machine learning, Settore SECS-P/03 - Scienza delle Finanze, 5171 Political Science, Human medicine, COVID-19, social distancing, hygiene, policy support, public health measures
Abstract: At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic., PNAS Nexus, 1 (3), ISSN:2752-6542
Published: 2022
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14. Time to Face Language: Embodied Mechanisms Underpin the Inception of Face-Related Meanings in the Human Brain

Author: Tristan A. Bekinschtein, Walter Silva, Agustín Ibáñez, Ezequiel Mikulan, Esteban Vaucheret, Eugenia Hesse, María del Carmen Garcia, Agustina Birba, Agustin Petroni, Lucas Sedeño, Carlos Ciraolo, Federico Adolfi, Adolfo M. García, and Miguel Martorell Caro
Subjects: Adult, Male, intracranial recordings, Cognitive Neuroscience, Models, Neurological, Face (sociological concept), Electroencephalography, semantic processing, Cellular and Molecular Neuroscience, Noun, medicine, Semantic memory, Humans, INTRACRANIAL RECORDINGS, EEG, AcademicSubjects/MED00385, purl.org/becyt/ford/5.1 [https], Language, purl.org/becyt/ford/6 [https], Brain Mapping, purl.org/becyt/ford/5 [https], medicine.diagnostic_test, AcademicSubjects/SCI01870, functional connectivity, Brain, purl.org/becyt/ford/6.2 [https], FUNCTIONAL CONNECTIVITY, Human brain, Semantics, SEMANTIC PROCESSING, medicine.anatomical_structure, Facial processing, embodied cognition, Embodied cognition, Face, AcademicSubjects/MED00310, Original Article, Female, Electrocorticography, Psychology, Comprehension, EMBODIED COGNITION, Meaning (linguistics), Cognitive psychology
Abstract: In construing meaning, the brain recruits multimodal (conceptual) systems and embodied (modality-specific) mechanisms. Yet, no consensus exists on how crucial the latter are for the inception of semantic distinctions. To address this issue, we combined electroencephalographic (EEG) and intracranial EEG (iEEG) to examine when nouns denoting facial body parts (FBPs) and nonFBPs are discriminated in face-processing and multimodal networks. First, FBP words increased N170 amplitude (a hallmark of early facial processing). Second, they triggered fast (~100 ms) activity boosts within the face-processing network, alongside later (~275 ms) effects in multimodal circuits. Third, iEEG recordings from face-processing hubs allowed decoding ~80% of items before 200 ms, while classification based on multimodal-network activity only surpassed ~70% after 250 ms. Finally, EEG and iEEG connectivity between both networks proved greater in early (0-200 ms) than later (200-400 ms) windows. Collectively, our findings indicate that, at least for some lexico-semantic categories, meaning is construed through fast reenactments of modality-specific experience. Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina. Universidad de San Andrés; Argentina. Universidad de Santiago de Chile; Chile. University of California; Estados Unidos Fil: Hesse Rizzi, Eugenia Fátima. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina Fil: Gonzalez Adolfi, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Università degli Studi di Milano; Italia Fil: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Petroni, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina Fil: Bekinchstein, Tristán. University of Cambridge; Reino Unido Fil: García, María del Carmen. Hospital Italiano; Argentina Fil: Silva, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Italiano; Argentina Fil: Ciraolo, Carlos. Hospital Italiano; Argentina Fil: Vaucheret Paz, Esteban Fabian. Hospital Italiano; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chile
Published: 2020

15. Consistent Gradient of Performance and Decoding of Stimulus Type and Valence From Local and Network Activity

Author: Sergio E. Lew, Walter Silva, Esteban Vaucheret, Agustín Ibáñez, Agustin Petroni, Lucas Sedeño, Fabricio Baglivo, Federico Raimondo, Eduar Herrera, Tristan A. Bekinschtein, Jacobo D. Sitt, Eugenia Hesse, María del Carmen Garcia, Ezequiel Mikulan, Adolfo M. García, Federico Adolfi, and Carlos Ciraolo
Subjects: Male, Drug Resistant Epilepsy, Computer science, Emotions, Individuality, Electroencephalography, INFORMATION SHARING CONNECTIVITY, HUMANIDADES, 0302 clinical medicine, MULTIVARIATE ANALYSIS PATTERNS, Evoked Potentials, Lingüística, medicine.diagnostic_test, General Neuroscience, 05 social sciences, Rehabilitation, Replicate, Middle Aged, Facial Expression, EMOTIONAL VALENCE, Female, Facial Recognition, Neural decoding, Adult, Biomedical Engineering, Stimulus (physiology), 050105 experimental psychology, Lengua y Literatura, CIENCIAS SOCIALES, 03 medical and health sciences, Reaction Time, Internal Medicine, medicine, Humans, 0501 psychology and cognitive sciences, INTRACRANIAL RECORDINGS, Valence (psychology), Facial expression, business.industry, Behavioral pattern, Pattern recognition, Psicología, Task analysis, LEXICAL PROCESSING, Artificial intelligence, Nerve Net, FACIAL PROCESSING, business, Psychomotor Performance, 030217 neurology & neurosurgery
Abstract: The individual differences approach focuses on the variation of behavioral and neural signatures across subjects. In this context, we searched for intracranial neural markers of performance in three individuals with distinct behavioral patterns (efficient, borderline, and inefficient) in a dual-valence task assessing facial and lexical emotion recognition. First, we performed a preliminary study to replicate well-established evoked responses in relevant brain regions. Then, we examined time series data and network connectivity, combined with multivariate pattern analyses and machine learning, to explore electrophysiological differences in resting-state versus task-related activity across subjects. Next, using the same methodological approach, we assessed the neural decoding of performance for different dimensions of the task. The classification of time series data mirrored the behavioral gradient across subjects for stimulus type but not for valence. However, network-based measures reflected the subjects' hierarchical profiles for both stimulus types and valence. Therefore, this measure serves as a sensitive marker for capturing distributed processes such as emotional valence discrimination, which relies on an extended set of regions. Network measures combined with classification methods may offer useful insights to study single subjects and understand inter-individual performance variability. Promisingly, this approach could eventually be extrapolated to other neuroscientific techniques. Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Sitt, Jacobo Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: García, María del Carmen. Hospital Italiano; Argentina Fil: Silva, Walter. Hospital Italiano; Argentina Fil: Ciraolo, Carlos. Hospital Italiano; Argentina Fil: Vaucheret, Esteban. Hospital Italiano; Argentina Fil: Raimondo, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina Fil: Baglivo, Fabricio Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Gonzalez Adolfi, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Herrera, Eduar. Universidad Icesi; Colombia Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Petroni, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Lew, Sergio Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Ibáñez, Santiago Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina
Published: 2019
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16. Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic

Author: Piskorz, María Marta, Stefanolo, Juan Pablo, Ibañez, Agustin, Eugenia, Hesse, Bravo Velez, Gladys, Tevez, Adriana, Gutierrez, Cielo, Uehara, Tatiana, Hashimoto, Harumi, Puga-Tejada, Miguel, Gonzalez Ballerga, Esteban, and Olmos, Jorge Atilio
Published: 2025
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17. From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages

Author: Lucas Sedeño, Melody Courson, Mabel Rodriguez, Edinson Muñoz, Natalia Trujillo, Elif Eyigöz, Elmar Nöth, Eduar Herrera, Agustín Ibáñez, Juan Rafael Orozco-Arroyave, Katharina Rogg, Sabine Skodda, Guillermo A. Cecchi, Eugenia Hesse, Juan F. Cardona, Jan Rusz, and Adolfo M. García
Subjects: Czech, medicine.medical_specialty, Cognitive Neuroscience, Experimental and Cognitive Psychology, Verb, Audiology, 050105 experimental psychology, Article, German, Machine Learning, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Cognition, Discriminative model, Noun, medicine, Humans, Speech, 0501 psychology and cognitive sciences, Language, 05 social sciences, Parkinson Disease, language.human_language, Pearson product-moment correlation coefficient, Neuropsychology and Physiological Psychology, Embodied cognition, language, symbols, Psychology, Classifier (UML), 030217 neurology & neurosurgery
Abstract: Embodied cognition research on Parkinson's disease (PD) points to disruptions of frontostriatal language functions as sensitive targets for clinical assessment. However, no existing approach has been tested for crosslinguistic validity, let alone by combining naturalistic tasks with machine-learning tools. To address these issues, we conducted the first classifier-based examination of morphological processing (a core frontostriatal function) in spontaneous monologues from PD patients across three typologically different languages. The study comprised 330 participants, encompassing speakers of Spanish (61 patients, 57 matched controls), German (88 patients, 88 matched controls), and Czech (20 patients, 16 matched controls). All subjects described the activities they perform during a regular day, and their monologues were automatically coded via morphological tagging, a computerized method that labels each word with a part-of-speech tag (e.g., noun, verb) and specific morphological tags (e.g., person, gender, number, tense). The ensuing data were subjected to machine-learning analyses to assess whether differential morphological patterns could classify between patients and controls and reflect the former's degree of motor impairment. Results showed robust classification rates, with over 80% of patients being discriminated from controls in each language separately. Moreover, the most discriminative morphological features were associated with the patients' motor compromise (as indicated by Pearson r correlations between predicted and collected motor impairment scores that ranged from moderate to moderate-to-strong across languages). Taken together, our results suggest that morphological patterning, an embodied frontostriatal domain, may be distinctively affected in PD across languages and even under ecological testing conditions.
Published: 2020

18. A multidimensional and multi-feature framework for cardiac interoception

Author: Guido Orlando Pascariello, Agustina Birba, David Huepe, Lucas Sedeño, Adrián Yoris, Sofía Abrevaya, Alethia de la Fuente, Sol Fittipaldi, Miquel Martorell Martorell, Ricardo Marcos Pautassi, Malin K. Hildebrandt, Adolfo M. García, María Roca, Sofía Alarco Martí, Paula Salamone, Agustín Ibáñez, and Eugenia Hesse
Subjects: Male, CARDIAC FREQUENCY, Interoception, Functional connectivity, 0302 clinical medicine, Heart Rate, Heart-evoked potential, Evoked Potentials, Aged, 80 and over, 05 social sciences, Confounding, Brain, Electroencephalography, Heart, FUNCTIONAL CONNECTIVITY, Awareness, Middle Aged, Magnetic Resonance Imaging, INTEROCEPTION, Heartbeat detection task, Neurology, purl.org/becyt/ford/3 [https], Female, Cardiac frequency, Psychology, Adult, Adolescent, Cognitive Neuroscience, HEARTBEAT DETECTION TASK, HEART-EVOKED POTENTIAL, Article, 050105 experimental psychology, lcsh:RC321-571, purl.org/becyt/ford/3.3 [https], Young Adult, 03 medical and health sciences, Multi feature, EMOTION, Humans, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Aged, Emotion, Heartbeat detection, Neuroscience, Neurocognitive, 030217 neurology & neurosurgery
Abstract: Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies in the field might reflect the caveats of standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we profit from a novel IA index (md) to provide a convergent multidimensional and multi-feature approach to cardiac interoception. We found that outcomes from our IA-md index are associated with –and predicted by– canonical markers of interoception, including the hd-EEG-derived heart-evoked potential (HEP), fMRI functional connectivity within interoceptive hubs (insular, somatosensory, and frontal networks), and socio-emotional skills. Importantly, these associations proved more robust than those involving current IA indexes. Furthermore, this pattern of results persisted when taking into consideration confounding variables (gender, age, years of education, and executive functioning). This work has relevant theoretical and clinical implications concerning the characterization of cardiac interoception and its assessment in heterogeneous samples, such as those composed of neuropsychiatric patients. Fil: Fittipaldi, María Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Abrevaya, Sofia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: de la Fuente de la Torre, Laura Alethia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Pascariello, Guido Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Salamone, Paula Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Hildebrandt, Malin. Institute for Clinical Psychology and Psychotherapy; Alemania Fil: Alarco Martí, Sofía. Universidad Favaloro; Argentina Fil: Pautassi, Ricardo Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigación Médica Mercedes y Martín Ferreyra. Universidad Nacional de Córdoba. Instituto de Investigación Médica Mercedes y Martín Ferreyra; Argentina Fil: Huepe, David. Universidad Adolfo Ibañez; Chile Fil: Martorell Martorell, Miquel. Universidad Favaloro; Argentina Fil: Yoris, Adrián. Universidad Favaloro; Argentina Fil: Roca, María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad Adolfo Ibañez; Chile. Universidad Autónoma del Caribe; Colombia
Published: 2020

19. Behavioral Insights (BI) for Childhood Development and Effective Public Policies in Latin America

Author: Martin Dottori, Daniel Flichtentrai, Agustín Ibáñez, Ailin Tomio, Eugenia Hesse, and Fernando Torrente
Subjects: medicine.medical_specialty, Public health, Applied psychology, Conflict of interest, Declaration, Behavioural sciences, Public policy, law.invention, Informed consent, law, medicine, CLARITY, Psychology, Declaration of Helsinki
Abstract: Background: Health professionals’ knowledge is key to aid in the design of public policies to address child development issues. Behavioral Insights (BI), also known as “nudges”, can greatly contribute to tackle these concerns as they draw upon behavioral sciences to improve the design of public policies. However, little is yet known about health professionals’ knowledge of BI methods in childhood policies. In the present study we investigate the opinions of childhood health experts on the use of BI in Latin American and the Caribbean countries (LACs), and test the influence of nudges on the effect of a communication of a simulated public health program. Methods: We developed a survey and an intervention to test the hypotheses. We used regression models analyzing expertise-related information, individual differences and location. Our participants were professionals working on child development across LACs (n= 2003) who completed the survey in an online platform. We obtained several outcome variables: (a) ‘public policy knowledge Index’ (PPKI) and (b) BI knowledge, perceived effectiveness, usefulness, and the ‘behavioral insights knowledge Index’(BIKI) (c) Perceived clarity, impact and interest in the simulated public program. Findings: Health professionals showed low BI knowledge (Knowledge of the term BI: (X2 = 210·29 df = 1, p < ·001), BIKI: (X2 = 160·5 df = 1, p < ·001)) and results were modulated by age, academic formation, PPKI and location. The use of BI principles in the program revealed higher impact (df = 3, F value = 12·97, p < ·001) and clarity ratings (df = 3, F value = 8·30, p < ·001) from professionals than control messages. Interpretation: Our findings provide relevant knowledge about BI in health professionals to inform governmental and NGOs decision making processes related with childhood public policies. Funding Statement: This work was partially supported by IntraMed, Alzheimer’s Association GBHI ALZ UK-20-639295; NIH-NIA R01 AG057234, and the Interamerican Development Bank. Declaration of Interests: All authors declare no conflict of interest. Ethics Approval Statement: Participants gave informed consent in accordance with the Declaration of Helsinki by pressing an “I agree” button after an explanatory letter. The institutional ethics committee approved the study.
Published: 2020
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20. Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreters

Author: Micaela Santilli, Daniel Fraiman, Martin Dottori, Miguel Martorell Caro, Eugenia Hesse, Agustín Ibáñez, Martina G. Vilas, Adolfo M. García, and Lucas Sedeño
Subjects: Oscillatory activity, Bilingualism, BILINGUALISM, Multilingualism, Electroencephalography, computer.software_genre, Task (project management), 0302 clinical medicine, Reading (process), Simultaneous interpreting, Neuroscience of multilingualism, media_common, EXPERTISE, Cerebral Cortex, education.field_of_study, Psycholinguistics, medicine.diagnostic_test, 05 social sciences, Cognition, purl.org/becyt/ford/3.1 [https], Lexical processing, Neurology, ELECTROENCEPHALOGRAPHY, purl.org/becyt/ford/3 [https], SIMULTANEOUS INTERPRETING, Psychology, Interpreter, Cognitive psychology, Adult, Cognitive Neuroscience, media_common.quotation_subject, Population, Expertise, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, medicine, Humans, 0501 psychology and cognitive sciences, OSCILLATORY ACTIVITY, education, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Translating, Brain Waves, Reading, Practice, Psychological, LEXICAL PROCESSING, computer, Neurocognitive, 030217 neurology & neurosurgery
Abstract: Insights on the neurocognitive particularities of expert individuals have benefited from language studies on professional simultaneous interpreters (PSIs). Accruing research indicates that behavioral advantages in this population are restricted to those skills that are directly taxed during professional practice (e.g., translation as opposed to reading), but little is known about the neural signatures of such selective effects. To illuminate the issue, we recruited 17 PSIs and 15 non-interpreter bilinguals and compared behavioral and electrophysiological markers of word reading and translation from and into their native and non-native languages (L1 and L2, respectively). PSIs exhibited greater delta-theta (1?8 Hz) power across all tasks over varying topographies, but these were accompanied by faster performance only in the case of translation conditions. Moreover, neural differences in PSIs were most marked for L2-L1 translation (the dominant interpreting direction in their market), which exhibited maximally widespread modulations that selectively correlated with behavioral outcomes. Taken together, our results suggest that interpreting experience involves distinct neural signatures across reading and translation mechanisms, but that these are systematically related with processing efficiency only in domains that face elevated demands during everyday practice (i.e., L2-L1 translation). These findings can inform models of simultaneous interpreting, in particular, and expert cognitive processing, in general. Fil: Dottori, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Santilli, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Gonzalez Vilas, Martina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Fraiman Borrazás, Daniel Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad Autonoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad Nacional de Cuyo; Argentina
Published: 2019

21. Your perspective and my benefit: multiple lesion models of self-other integration strategies during social bargaining

Author: Agustina Birba, Angelo Plastino, Andrea Slachevsky, Gonzalo Forno, Cecilia Serrano, Laura de la Fuente, Eugenia Hesse, Sandra Baez, Agustín Ibáñez, Mariano Sigman, Adolfo M. García, Lucas Sedeño, Margherita Melloni, Indira García-Cordero, Pablo Billeke, David Huepe, and Facundo Manes
Subjects: 0301 basic medicine, Brain mapping, 03 medical and health sciences, 0302 clinical medicine, medicine, Social decision making, Social Decision-Making, Neurodegeneration, purl.org/becyt/ford/5.1 [https], Neural correlates of consciousness, purl.org/becyt/ford/5 [https], medicine.diagnostic_test, Perspective (graphical), medicine.disease, 030104 developmental biology, Lesion Model, Neurology (clinical), Alzheimer's disease, Self-Other Strategy, Functional magnetic resonance imaging, Psychology, Social Bargaining, Neurocognitive, Neuroscience, 030217 neurology & neurosurgery, Frontotemporal dementia, Cognitive psychology
Abstract: Recursive social decision-making requires the use of flexible, context-sensitive long-term strategies for negotiation. To succeed in social bargaining, participants' own perspectives must be dynamically integrated with those of interactors to maximize self-benefits and adapt to the other's preferences, respectively. This is a prerequisite to develop a successful long-term self-other integration strategy. While such form of strategic interaction is critical to social decision-making, little is known about its neurocognitive correlates. To bridge this gap, we analysed social bargaining behaviour in relation to its structural neural correlates, ongoing brain dynamics (oscillations and related source space), and functional connectivity signatures in healthy subjects and patients offering contrastive lesion models of neurodegeneration and focal stroke: behavioural variant frontotemporal dementia, Alzheimer's disease, and frontal lesions. All groups showed preserved basic bargaining indexes. However, impaired self-other integration strategy was found in patients with behavioural variant frontotemporal dementia and frontal lesions, suggesting that social bargaining critically depends on the integrity of prefrontal regions. Also, associations between behavioural performance and data from voxel-based morphometry and voxel-based lesion-symptom mapping revealed a critical role of prefrontal regions in value integration and strategic decisions for self-other integration strategy. Furthermore, as shown by measures of brain dynamics and related sources during the task, the self-other integration strategy was predicted by brain anticipatory activity (alpha/beta oscillations with sources in frontotemporal regions) associated with expectations about others' decisions. This pattern was reduced in all clinical groups, with greater impairments in behavioural variant frontotemporal dementia and frontal lesions than Alzheimer's disease. Finally, connectivity analysis from functional magnetic resonance imaging evidenced a fronto-temporo-parietal network involved in successful self-other integration strategy, with selective compromise of long-distance connections in frontal disorders. In sum, this work provides unprecedented evidence of convergent behavioural and neurocognitive signatures of strategic social bargaining in different lesion models. Our findings offer new insights into the critical roles of prefrontal hubs and associated temporo-parietal networks for strategic social negotiation. Fil: Melloni, Margherita. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Billeke, Pablo. Universidad del Desarrollo; Chile Fil: Báez Buitrago, Sandra Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: de la Fuente de la Torre, Laura Alethia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Forno, Gonzalo. Center For Geroscience, Brain Health And Metabolism; Chile. Universidad Adolfo Ibañez; Chile Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: García Cordero, Indira Ruth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Serrano, Cecilia. Memory And Balance Clinic; Argentina Fil: Plastino, Ángel Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina Fil: Slachevsky, Andrea. Hospital del Salvador; Chile. Center For Geroscience, Brain Health And Metabolism; Chile. Clinica Alemana; Chile. Center For Advanced Research In Education (care); Chile. Universidad de Chile; Chile Fil: Huepe, David. Universidad Adolfo Ibañez; Chile Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Manes, Facundo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad Nacional de Cuyo; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad Autonoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile
Published: 2016
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22. Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia

Author: Diana Matallana, Pablo Reyes, Sabrina Cervetto, Cecilia Serrano, Lucas Sedeño, Agustín Ibáñez, Ezequiel Mikulan, Eugenia Hesse, Eduar Herrera, Indira García-Cordero, Facundo Manes, Sebastian Moguilner, Margherita Melloni, and Adolfo M. García
Subjects: Male, 0301 basic medicine, Computer science, lcsh:Medicine, Brain mapping, DFT, Article, Membrane Potentials, Copula (probability theory), 03 medical and health sciences, 0302 clinical medicine, Salience (neuroscience), Neural Pathways, Image Processing, Computer-Assisted, medicine, Humans, lcsh:Science, Aged, Brain Mapping, Multidisciplinary, Resting state fMRI, business.industry, Conectividad, Functional connectivity, lcsh:R, fMRI, Brain, Pattern recognition, purl.org/becyt/ford/3.1 [https], Middle Aged, medicine.disease, Magnetic Resonance Imaging, 030104 developmental biology, Frontotemporal Dementia, Female, lcsh:Q, purl.org/becyt/ford/3 [https], Artificial intelligence, business, 030217 neurology & neurosurgery, Frontotemporal dementia
Abstract: The search for biomarkers of neurodegenerative diseases via fMRI functional connectivity (FC) research has yielded inconsistent results. Yet, most FC studies are blind to non-linear brain dynamics. To circumvent this limitation, we developed a “weighted Symbolic Dependence Metric” (wSDM) measure. Using symbolic transforms, we factor in local and global temporal features of the BOLD signal to weigh a robust copula-based dependence measure by symbolic similarity, capturing both linear and non-linear associations. We compared this measure with a linear connectivity metric (Pearson’s R) in its capacity to identify patients with behavioral variant frontotemporal dementia (bvFTD) and controls based on resting-state data. We recruited participants from two international centers with different MRI recordings to assess the consistency of our measure across heterogeneous conditions. First, a seed-analysis comparison of the salience network (a specific target of bvFTD) and the default-mode network (as a complementary control) between patients and controls showed that wSDM yields better identification of resting-state networks. Moreover, machine learning analysis revealed that wSDM yielded higher classification accuracy. These results were consistent across centers, highlighting their robustness despite heterogeneous conditions. Our findings underscore the potential of wSDM to assess fMRI-derived FC data, and to identify sensitive biomarkers in bvFTD. Fil: Moguilner, Sebastian Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad Nacional de Cuyo; Argentina. Comisión Nacional de Energía Atómica; Argentina Fil: García, Adolfo Martín. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: García Cordero, Indira Ruth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Melloni, Margherita. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Cervetto, Sabrina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Serrano, Cecilia Mariela. Unidad Asistencial "Dr. César Milstein"; Argentina Fil: Herrera Murcia, Eduar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Reyes, Pablo. Pontificia Universidad Javeriana; Colombia Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia Fil: Manes, Facundo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad Adolfo Ibañez; Chile. Universidad Autónoma del Caribe; Colombia Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina
Published: 2018

23. Intracranial high-γ connectivity distinguishes wakefulness from sleep

Author: Lucas Sedeño, Tristan A. Bekinschtein, Carlos Ciraolo, Ezequiel Mikulan, María del Carmen Garcia, Adolfo M. García, Mariano Sigman, Eugenia Hesse, Walter Silva, Agustín Ibáñez, Bekinschtein, Tristan [0000-0001-5501-8628], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, 0301 basic medicine, CIENCIAS MÉDICAS Y DE LA SALUD, Adolescent, Computer science, Cognitive Neuroscience, media_common.quotation_subject, Neurociencias, Intracranial Electroencephalography, Young Adult, 03 medical and health sciences, 0302 clinical medicine, medicine, Gamma Rhythm, Humans, Wakefulness, media_common, Cerebral Cortex, Neural correlates of consciousness, Epilepsy, Conectividad, Functional Neuroimaging, iEEG, Human brain, purl.org/becyt/ford/3.1 [https], Middle Aged, Sleep in non-human animals, Medicina Básica, 030104 developmental biology, medicine.anatomical_structure, Neurology, Female, purl.org/becyt/ford/3 [https], Electrocorticography, Sleep Stages, Consciousness, Neuroscience, 030217 neurology & neurosurgery
Abstract: Neural synchrony in the γ-band is considered a fundamental process in cortical computation and communication and it has also been proposed as a crucial correlate of consciousness. However, the latter claim remains inconclusive, mainly due to methodological limitations, such as the spectral constraints of scalp-level electroencephalographic recordings or volume-conduction confounds. Here, we circumvented these caveats by comparing γ-band connectivity between two global states of consciousness via intracranial electroencephalography (iEEG), which provides the most reliable measurements of high-frequency activity in the human brain. Non-REM Sleep recordings were compared to passive-wakefulness recordings of the same duration in three subjects with surgically implanted electrodes. Signals were analyzed through the weighted Phase Lag Index connectivity measure and relevant graph theory metrics. We found that connectivity in the high-γ range (90–120 Hz), as well as relevant graph theory properties, were higher during wakefulness than during sleep and discriminated between conditions better than any other canonical frequency band. Our results constitute the first report of iEEG differences between wakefulness and sleep in the high-γ range at both local and distant sites, highlighting the utility of this technique in the search for the neural correlates of global states of consciousness. Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Universidad Favaloro; Argentina. University of Cambridge; Reino Unido Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Universidad Favaloro; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Universidad Favaloro; Argentina Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino Unido Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Torcuato Di Tella; Argentina Fil: García, María del Carmen. Hospital Italiano; Argentina Fil: Silva, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Italiano; Argentina Fil: Ciraolo, Carlos. Hospital Italiano; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Universidad Favaloro; Argentina. Universidad Nacional de Cuyo; Argentina Fil: Ibanez Barassi, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Universidad Favaloro; Argentina. Universidad Adolfo Ibañez; Chile. Universidad Autónoma del Caribe; Colombia. Australian Research Council Centre of Excellence in Cognition and its Disorders; Australia
Published: 2018

24. The impact of neuromyelitis optica on the recognition of emotional facial expressions: A preliminary report

Author: Vladimiro Sinay, Juan F. Cardona, Facundo Manes, Lucia Amoruso, Agustín Ibáñez, and Eugenia Hesse
Subjects: Adult, Male, Social Psychology, Emotions, Neuropsychological Tests, Development, Amygdala, CIENCIAS SOCIALES, Behavioral Neuroscience, emotion recognition, medicine, Humans, Prefrontal cortex, Anterior cingulate cortex, Facial expression, Neuromyelitis optica, NMO, Working memory, Neuromyelitis Optica, Cognition, executive functions, Executive functions, medicine.disease, Psicología, Facial Expression, medicine.anatomical_structure, Pattern Recognition, Visual, Female, Cognition Disorders, Psychology, Neuroscience, Photic Stimulation, negative emotion networks, Cognitive psychology
Abstract: Although neuromyelitis optica (NMO) is classically recognized as an affectation of optic nerves and spinal cord, recent reports have shown brain atrophy and cognitive dysfunction in this condition. Importantly, emotion-related brain regions appear to be impaired in NMO. However, no studies of NMO’ emotional processing have been published. The goal of the current study was to investigate facial emotion recognition in 10 patients with NMO and 10 healthy controls by controlling for relevant cognitive factors. Consistent with previous reports, NMO patients performed poorly across cognitive domains (divided attention, working memory, and information-processing speed). Our findings further evidence the relative inability of NMO patients to recognize negative emotions (disgust, anger, and fear), in comparison to controls, with these deficits not explained by other cognitive impairments. Results provide the first evidence that NMO may impair the ability to recognize negative emotions. These impairments appear to be related to possible damage in brain regions underling emotional networks, including the anterior cingulate cortex, amygdala, and medial prefrontal cortex. Findings increased both our understanding of NMO’s cognitive impairment, and the neural networks underlying negative emotions. Fil: Cardona Londoño, Juan Felipe. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva; Argentina. Fundación Favaloro; Argentina Fil: Sinay, Vladimiro. Fundación Favaloro; Argentina. Instituto de Neurología Cognitiva; Argentina Fil: Amoruso, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva; Argentina. Fundación Favaloro; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Fundación Favaloro; Argentina. Instituto de Neurología Cognitiva; Argentina Fil: Manes, Facundo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva; Argentina. Fundación Favaloro; Argentina. Universidad Diego Portales; Chile Fil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva; Argentina. Fundación Favaloro; Argentina. Universidad Diego Portales; Chile
Published: 2014
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25. Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing

Author: Andrea Slachevsky, Lucas Sedeño, Cecilia Serrano, Florencia Alifano, Ezequiel Mikulan, Adolfo M. García, Amparo Ruiz-Tagle, Martin Dottori, Agustín Ibáñez, Miguel Martorell Caro, Eugenia Hesse, Daniel Fraiman, and Patricia Lillo
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, CIENCIAS MÉDICAS Y DE LA SALUD, Support Vector Machine, Science, Neurociencias, Information Sharing, Bbiomarkers, Audiology, Electroencephalography, Article, 03 medical and health sciences, 0302 clinical medicine, Medicine, Dementia, Humans, In patient, Eeg, Aged, Multidisciplinary, medicine.diagnostic_test, business.industry, Functional connectivity, Information sharing, Neuropsychology, purl.org/becyt/ford/3.1 [https], Middle Aged, medicine.disease, Support vector machine, Medicina Básica, 030104 developmental biology, ComputingMethodologies_PATTERNRECOGNITION, Frontotemporal Dementia, purl.org/becyt/ford/3 [https], Female, Artificial intelligence, business, 030217 neurology & neurosurgery, Biomarkers, Frontotemporal dementia
Abstract: Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer's disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings. Fil: Dottori, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Alifano, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina Fil: Ruiz Tagle, Amparo. Centre for Advanced Research in Education; Chile Fil: Lillo, Patricia. Universidad de Chile; Chile. Gerosciences Center for Brain Health and Metabolism; Chile Fil: Slachevsky, Andrea. Universidad de Chile; Chile. Gerosciences Center for Brain Health and Metabolism; Chile. Hospital del Salvador; Chile. Centre for Advanced Research in Education; Chile. Clínica Alemana-Universidad del Desarrollo; Chile Fil: Serrano, Cecilia Mariela. Clínica de Memoria y Equilibrio; Argentina Fil: Fraiman Borrazás, Daniel Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina Fil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. The University of New South Wales; Australia. Macquarie University; Australia. Universidad Autónoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile
Published: 2017

26. Attention, in and Out: Scalp-Level and Intracranial EEG Correlates of Interoception andExteroception

Author: Indira García-Cordero, Sol Esteves, Ezequiel P. Mikulan, Eugenia Hesse, Fabricio H. Baglivo, Walter Silva, María del Carmen García, Esteban Vaucheret, Carlos Ciraolo, Hernando S. García, Federico Adolfi, Marcos Pietto, Eduar Herrera, Agustina Legaz, Facundo Manes, Adolfo M. García, Mariano Sigman, Tristán A. Bekinschtein, Agustín Ibáñez, and Lucas Sedeño
Subjects: intracranial recordings, Inferior frontal gyrus, Electroencephalography, heart evoked potential, Somatosensory system, interoception, Settore BIO/09 - Fisiologia, Amygdala, 050105 experimental psychology, lcsh:RC321-571, CIENCIAS SOCIALES, 03 medical and health sciences, 0302 clinical medicine, Exteroception, Heart evoked potential, Interoception, Interoceptive learning, Intracranial recordings, medicine, exteroception, 0501 psychology and cognitive sciences, INTRACRANIAL RECORDINGS, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, purl.org/becyt/ford/5.1 [https], Original Research, medicine.diagnostic_test, purl.org/becyt/ford/5 [https], General Neuroscience, INTEROCEPTIVE LEARNING, 05 social sciences, Intracranial eeg, Psicología, INTEROCEPTION, interoceptive learning, medicine.anatomical_structure, Scalp, EXTEROCEPTION, HEART EVOKED POTENTIAL, Psychology, Insula, Neuroscience, 030217 neurology & neurosurgery
Abstract: Interoception, the monitoring of visceral signals, is often presumed to engage attentional mechanisms specifically devoted to inner bodily sensing. In fact, most standardized interoceptive tasks require directing attention to internal signals. However, most studies in the field have failed to compare attentional modulations between internally- and externally-driven processes, thus probing blind to the specificity of the former. Here we address this issue through a multidimensional approach combining behavioral measures, analyses of event-related potentials and functional connectivity via high-density electroencephalography, and intracranial recordings. In Study 1, 50 healthy volunteers performed a heartbeat detection task as we recorded modulations of the heartbeat-evoked potential (HEP) in three conditions: exteroception, basal interoception (also termed interoceptive accuracy), and post-feedback interoception (sometimes called interoceptive learning). In Study 2, to evaluate whether key interoceptive areas (posterior insula, inferior frontal gyrus, amygdala, and somatosensory cortex) were differentially modulated by externally- and internally-driven processes, we analyzed human intracranial recordings with depth electrodes in these regions. This unique technique provides a very fine grained spatio-temporal resolution compared to other techniques, such as EEG or fMRI. We found that both interoceptive conditions in Study 1 yielded greater HEP amplitudes than the exteroceptive one. In addition, connectivity analysis showed that post-feedback interoception, relative to basal interoception, involved enhanced long-distance connections linking frontal and posterior regions. Moreover, results from Study 2 showed a differentiation between oscillations during basal interoception (broadband: 35-110 Hz) and exteroception (1-35 Hz) in the insula, the amygdala, the somatosensory cortex, and the inferior frontal gyrus. In sum, this work provides convergent evidence for the specificity and dynamics of attentional mechanisms involved in interoception. Fil: García Cordero, Indira Ruth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Esteves, Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Baglivo, Fabricio H.. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Silva, Walter. Hospital Italiano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: García, Marìa del Carmen. Hospital Italiano; Argentina Fil: Vaucheret, Esteban. Hospital Italiano; Argentina Fil: Ciraolo, Carlos. Hospital Italiano; Argentina Fil: García, Hernando S.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Pontificia Universidad Javeriana; Colombia. Centro de Memoria y Cognición Intellectus; Colombia Fil: Gonzalez Adolfi, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Pietto, Marcos Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET.; Argentina Fil: Herrera Murcia, Eduar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad ICESI; Colombia Fil: Legaz, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Manes, Facundo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Australian Research Council; Australia Fil: García, Adolfo Martín. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Sigman, Mariano. Fundación Instituto Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. University of Cambridge; Reino Unido Fil: Ibáñez Barassi, Agustín Mariano. Australian Research Council; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad Adolfo Ibañez; Chile Fil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. National Scientific and Technical Research Council; Argentina
Published: 2017

27. FREEING FREE WILL: A NEUROSCIENTIFIC PERSPECTIVE

Author: Agustín Ibáñez, Adolfo M. García, Facundo Manes, and Eugenia Hesse
Subjects: media_common.quotation_subject, Perspective (graphical), Free will, Psychology, media_common, Epistemology
Published: 2016
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28. Early detection of intentional harm in the human amygdala

Author: Tristan A. Bekinschtein, María del Carmen Garcia, Ezequiel Mikulan, Esteban Vaucheret, Eugenia Hesse, Facundo Manes, Vladimir López, Walter Silva, Agustín Ibáñez, David Huepe, Fabricio Hugo Baglivo, Mariano Sigman, Carlos Ciraolo, and Jean Decety
Subjects: Adult, Male, Eye Movements, Intention, Morals, Amygdala, Stimulus Salience, 050105 experimental psychology, Young Adult, 03 medical and health sciences, Cognition, 0302 clinical medicine, purl.org/becyt/ford/3.2 [https], medicine, Humans, 0501 psychology and cognitive sciences, Empathic concern, medicine.diagnostic_test, Aggression, Intracranial Recordings, 05 social sciences, Reproducibility of Results, Middle Aged, Electrodes, Implanted, Intentional Harm, Moral Cognition, Harm, medicine.anatomical_structure, Mentalization, Female, purl.org/becyt/ford/3 [https], Neurology (clinical), medicine.symptom, Functional magnetic resonance imaging, Psychology, Psychomotor Performance, 030217 neurology & neurosurgery, Cognitive psychology
Abstract: A decisive element of moral cognition is the detection of harm and its assessment as intentional or unintentional. Moral cognition engages brain networks supporting mentalizing, intentionality, empathic concern and evaluation. These networks rely on the amygdala as a critical hub, likely through frontotemporal connections indexing stimulus salience. We assessed inferences about perceived harm using a paradigm validated through functional magnetic resonance imaging, eye-tracking and electroencephalogram recordings. During the task, we measured local field potentials in three patients with depth electrodes (n = 115) placed in the amygdala and in several frontal, temporal, and parietal locations. Direct electrophysiological recordings demonstrate that intentional harm induces early activity in the amygdala (5 200 ms), which-in turn-predicts intention attribution. The amygdala was the only site that systematically discriminated between critical conditions and predicted their classification of events as intentional. Moreover, connectivity analysis showed that intentional harm induced stronger frontotemporal information sharing at early stages. Results support the 'many roads' view of the amygdala and highlight its role in the rapid encoding of intention and salience-critical components of mentalizing and moral evaluation. Fil: Hesse Rizzi, Eugenia Fátima. Universidad de Buenos Aires; Argentina. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Mikulan, Ezequiel Pablo. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Decety, Jean. University of Chicago; Estados Unidos Fil: Sigman, Mariano. Universidad de Buenos Aires; Argentina. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Del Carmen Garcia, María. Hospital Italiano. Instituto Universitario - Escuela de Medicina; Argentina Fil: Silva, Walter. Hospital Italiano. Instituto Universitario - Escuela de Medicina; Argentina Fil: Ciraolo, Carlos. Hospital Italiano. Instituto Universitario - Escuela de Medicina; Argentina Fil: Vaucheret, Esteban. Hospital Italiano. Instituto Universitario - Escuela de Medicina; Argentina Fil: Baglivo, Fabricio. Universidad Favaloro; Argentina. Universidad de Buenos Aires; Argentina. Universidad Diego Portales; Chile. Instituto de Neurología Cognitiva; Argentina Fil: Huepe, David. Universidad Diego Portales; Chile Fil: Lopez, Vladimir. Pontificia Universidad Católica de Chile; Chile Fil: Manes, Facundo Francisco. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino Unido Fil: Ibañez, Agustin Mariano. Universidad Diego Portales; Chile. Universidad Autonoma del Caribe; Colombia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina
Published: 2016

29. Time to face language: Face-related words trigger ultra-rapid activity in the right fusiform gyrus

Author: Agustín Ibáñez, Ezequiel Mikulan, Adolfo Garcia-Cordero, Eugenia Hesse, Lucas Sedeño, and Federico Adolfi
Subjects: Neuropsychology and Physiological Psychology, Face perception, Physiology (medical), General Neuroscience, Cognitive neuroscience of visual object recognition, Face (sociological concept), Right fusiform gyrus, Fusiform face area, Psychology, Cognitive psychology
Published: 2016
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30. Cortical dynamics and subcortical signatures of motor-language coupling in Parkinson's disease

Author: David Pineda, Ezequiel Mikulan, Indira García-Cordero, Catalina Bustamante, Aida Marcotti, Natalia Trujillo, José David López, Agustín Ibáñez, Facundo Manes, Francisco Lopera, Adolfo M. García, Eugenia Hesse, Margherita Melloni, Angelo Plastino, and Lucas Sedeño
Subjects: Male, Parkinson's disease, Electroencephalography, Párkinson, Brain mapping, Basal Ganglia, Cognition, Motor cognition, Basal ganglia, Cortical dynamics, Evoked Potentials, Language, Brain Mapping, Multidisciplinary, medicine.diagnostic_test, Motor Cortex, Parkinson Disease, FUNCTIONAL CONNECTIVITY, purl.org/becyt/ford/3.1 [https], Middle Aged, Magnetic Resonance Imaging, Enfermedad de Párkinson, Medicina Básica, medicine.anatomical_structure, purl.org/becyt/ford/3 [https], Female, Monte Carlo Method, CORTICAL RECORDINGS, Motor cortex, CIENCIAS MÉDICAS Y DE LA SALUD, Neurociencias, Article, MOTOR COGNITION, Motor-language, medicine, Humans, Ciencias Exactas, Aged, Demography, Behavior, business.industry, medicine.disease, Radiography, Case-Control Studies, Ciencias Médicas, Parkinson’s disease, business, PARKINSON'S DISEASE, Neuroscience, Neurocognitive
Abstract: Impairments of action language have been documented in early stage Parkinson's disease (EPD). The action-sentence compatibility effect (ACE) paradigm has revealed that EPD involves deficits to integrate action-verb processing and ongoing motor actions. Recent studies suggest that an abolished ACE in EPD reflects a cortico-subcortical disruption, and recent neurocognitive models highlight the role of the basal ganglia (BG) in motor-language coupling. Building on such breakthroughs, we report the first exploration of convergent cortical and subcortical signatures of ACE in EPD patients and matched controls. Specifically, we combined cortical recordings of the motor potential, functional connectivity measures, and structural analysis of the BG through voxel-based morphometry. Relative to controls, EPD patients exhibited an impaired ACE, a reduced motor potential, and aberrant frontotemporal connectivity. Furthermore, motor potential abnormalities during the ACE task were predicted by overall BG volume and atrophy. These results corroborate that motor-language coupling is mainly subserved by a cortico-subcortical network including the BG as a key hub. They also evince that action-verb processing may constitute a neurocognitive marker of EPD. Our findings suggest that research on the relationship between language and motor domains is crucial to develop models of motor cognition as well as diagnostic and intervention strategies., Facultad de Ciencias Exactas, Instituto de Física La Plata
Published: 2015

31. Early amygdala detection of intentional harmful actions

Author: Tristan A. Bekinschtein, F. Baglio, María del Carmen Garcia, Walter Silva, Ezequiel Mikulan, Agustín Ibáñez, L. Kargierman, Eugenia Hesse, Carlos Ciraolo, and Lucas Sedeño
Subjects: medicine.anatomical_structure, Neurology, medicine, Neurology (clinical), Psychology, Neuroscience, Amygdala
Published: 2015
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32. Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic: A Survey-based Study.

Author: Piskorz MM, Stefanolo JP, Ibañez A, Eugenia H, Bravo Velez G, Tevez A, Gutierrez C, Uehara T, Hashimoto H, Puga-Tejada M, Gonzalez Ballerga E, and Olmos JA
Abstract: Background: Irritable bowel syndrome (IBS) is influenced by various factors, including socioemotional stressors. The COVID-19 lockdown created a unique environment characterized by reduced social interactions, potentially impacting IBS symptoms., Aim: To assess how lockdown measures affected symptoms related to the gut-brain axis in IBS patients in Buenos Aires, Argentina., Methods: Patients with IBS-diarrhea subtype who previously participated in surveys were re-surveyed during the lockdown. Surveys included symptom severity scales and assessments for anxiety, depression, and somatization., Findings: One hundred twenty-nine patients (median age 57 y, 78% female) were surveyed. Severe IBS decreased (40.4% vs. 25%; P<0.001), along with abdominal discomfort (72.4% vs. 43%; P<0.001), bloating (72.4% vs. 51.5%; P<0.001), and Bristol scale (6 vs. 4; P<0.001) during-lockdown. Headache and dyspepsia increased, whereas anxiety (45.8% vs. 34.9%; P=0.014) and severe somatization (29.6% vs. 23.3%; P=0.081) decreased., Conclusion: Lockdown was associated with improved clinical status in IBS-D patients, reflected in reduced somatization, anxiety, and symptom intensity. This may be attributed to decreased exposure to external stressors on the gut-brain axis., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
Published: 2024
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32 results on '"Eugenia Hesse"'

1. Allostatic-interoceptive anticipation of social rejection

2. Behavioural insights (BI) for childhood development and effective public policies in Latin America: a survey and a randomised controlled trial

3. Uncovering social-contextual and individual mental health factors associated with violence via computational inference

4. A multidimensional and multi-feature framework for cardiac interoception

5. BIOMARCADORES ASEQUIBLES DE DEMENCIA FRONTOTEMPORAL: UN ESTUDIO DE CLASIFICACIÓN BASADO EN LA CONECTIVIDAD DE REDES CEREBRALES

6. Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreters

7. Towards affordable biomarkers of frontotemporal dementia: A classification study via network’s information sharing

8. The power of knowledge about dementia in Latin America across health professionals working on aging

9. Attention, in and Out: Scalp-Level and Intracranial EEG Correlates of Interoception and Exteroception

10. Enhanced Working Memory Binding by Direct Electrical Stimulation of the Parietal Cortex

11. Unsupervised Morphological Segmentation for Detecting Parkinson's Disease.

12. Intracranial high-γ connectivity distinguishes wakefulness from sleep.

13. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

14. Time to Face Language: Embodied Mechanisms Underpin the Inception of Face-Related Meanings in the Human Brain

15. Consistent Gradient of Performance and Decoding of Stimulus Type and Valence From Local and Network Activity

16. Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic

17. From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages

18. A multidimensional and multi-feature framework for cardiac interoception

19. Behavioral Insights (BI) for Childhood Development and Effective Public Policies in Latin America

20. Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreters

21. Your perspective and my benefit: multiple lesion models of self-other integration strategies during social bargaining

22. Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia

23. Intracranial high-γ connectivity distinguishes wakefulness from sleep

24. The impact of neuromyelitis optica on the recognition of emotional facial expressions: A preliminary report

25. Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing

26. Attention, in and Out: Scalp-Level and Intracranial EEG Correlates of Interoception andExteroception

27. FREEING FREE WILL: A NEUROSCIENTIFIC PERSPECTIVE

28. Early detection of intentional harm in the human amygdala

29. Time to face language: Face-related words trigger ultra-rapid activity in the right fusiform gyrus

30. Cortical dynamics and subcortical signatures of motor-language coupling in Parkinson's disease

31. Early amygdala detection of intentional harmful actions

32. Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic: A Survey-based Study.

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32 results on '"Eugenia Hesse"'

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