8 results on '"Slachevsky, Andrea"'
Search Results
2. Memory markers can help trace the Alzheimer’s disease continuum: Evidence from the GERO Cohort
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Forno, Gonzalo, Parra, Mario A, Lillo, Patricia, Villagra, Roque, Parrao, Teresa, Thumala, Daniela, and Slachevsky, Andrea
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Psychiatry and Mental health ,Cellular and Molecular Neuroscience ,Developmental Neuroscience ,Epidemiology ,Health Policy ,RC0321 ,Neurology (clinical) ,Geriatrics and Gerontology - Abstract
Background: Cognitive assessments able to detect impairments as early as neuropathological changes that occur in neurodegenerative diseases initiate are urgently needed. The Visual Short-Term Memory Binding Test (VSTMBT) and the Free and Cued Selective Reminding Test (FCRST) have been recently recommended by the Neurodegenerative Diseases Working Group (Costa et al., 2017) as promising preclinical markers of AD. They have never been used before to assess elderlies with cognitive complain recruited from the community. Method: A total of 271 subjects (37 healthy controls (HC), 112 subjective cognitive complain (SCC), 96 mild cognitive impairment (MCI) and 26 Alzheimer's disease dementia (ADD)), recruited from Geroscience Center for Brain Health and Metabolism (GERO) Cohort and the Memory and Neuropsychiatric Clinic (CMYN), underwent assessment with the VSTMBT and the Visual Version of the FCRST (FCRST-Visual). Two memory loads were used for the VSTMBT (low and high). The ability of these tests to discriminate between groups. Result: Significant differences were found between HC, MCI and ADD using the VSTMBT and the FCRST-Visual version. Notably, the STMB was the only test that "marginally" differentiated between HC from SCC (p = 0.055). Moreover, whereas the FCRST-Visual showed a gradient (HC = SCC) > MCI > AD, the VSTMBT's gradient was HC > (SCC = MCI = ADD) suggesting that the function assessed by the latter test may be sensitive to the very early stages of the disease dropping to levels that cannot decline further. Conclusion: Our results suggest that the VSTMBT and FCSRT are sensitive to the early stages of dementia. Whereas the former detects changes in the early subjective stages, the latter is more sensitive to later objective stages of cognitive decline. The latter but not the former could help monitor disease progression. These results raise important questions about the usefulness of cognitive screening tools to detect and monitor disease progression and to separate normal and abnormal ageing trajectories. We propose the need of cognitive assessments that detect subtle differences as early as neuropathological changes occur in the brain, which will lead to the development of new "cognitive biomarkers" for dementia.
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- 2021
3. Dementia caregiving across Latin America and the Caribbean and brain health diplomacy
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Ibáñez, Agustin, Pina-Escudero, Stefanie Danielle, Possin, Katherine L, Quiroz, Yakeel T, Peres, Fernando Aguzzoli, Slachevsky, Andrea, Sosa, Ana Luisa, Brucki, Sonia MD, Miller, Bruce L, and Multi-Partner Consortium to Expand Dementia Research in Latin America
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Male ,Aging ,Sexism ,Neurosciences ,Brain ,COVID-19 ,Brain Disorders ,Multi-Partner Consortium to Expand Dementia Research in Latin America ,Latin America ,Caribbean Region ,Neurological ,Acquired Cognitive Impairment ,Humans ,Dementia ,Female ,Pandemics ,Diplomacy - Abstract
The prevalence of dementia in Latin America and the Caribbean is growing rapidly, increasing the burden placed on caregivers. Exacerbated by fragile health-care systems, unstable economies, and extensive inequalities, caregiver burden in this region is among the highest in the world. We reviewed the major challenges to caregiving in Latin America and the Caribbean, and we propose regional and coordinated actions to drive future change. Current challenges include the scarcity of formal long-term care, socioeconomic and social determinants of health disparities, gender-biased burdens, growing dementia prevalence, and the effect of the current COVID-19 pandemic on families affected by dementia. Firstly, we propose local and regional short-term strategic recommendations, including systematic identification of specific caregiver needs, testing of evidence-based local interventions, contextual adaptation of strategies to different settings and cultures, countering gender bias, strengthening community support, provision of basic technology, and better use of available information and communications technology. Additionally, we propose brain health diplomacy (ie, global actions aimed to overcome the systemic challenges to brain health by bridging disciplines and sectors) and convergence science as frameworks for long-term coordinated responses, integrating tools, knowledge, and strategies to expand access to digital technology and develop collaborative models of care. Addressing the vast inequalities in dementia caregiving across Latin America and the Caribbean requires innovative, evidence-based solutions coordinated with the strengthening of public policies.
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- 2021
4. Detecting Apathy in Older Adults with Cognitive Disorders Using Automatic Speech Analysis
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Linz, Nicklas, Klinge, Xenia, Tröger, Johannes, Alexandersson, Jan, Manera, Valeria, Abrahams, Sharon, Agüera-Ortiz, Luis, Bremond, François, David, Renaud, Fairchild, Kaci, Gros, Auriane, Hanon, Cécile, Husain, Masud, König, Alexandra, Lockwood, Patricia, Pino, Maribel, Radakovic, Ratko, Robert, Gabriel, Slachevsky, Andrea, Stella, Florindo, Tribouillard, Anaïs, Trimarchi, Pietro Davide, Verhey, Frans, Yesavage, Jerome, Zeghari, Radia, Philippe, Robert, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Department of Psychiatry and Behavioral Sciences [Stanford], Stanford University [Stanford], School of Philosophy, Psychology and Language Sciences [Edinburgh] (SA), University of Edinburgh, Hospital Universitario 12 de Octubre [Madrid], Perception Understanding Learning Systems for Activity Recognition (PULSAR), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Psychiatry, Stanford University School of Medicine [CA, USA], Cognition Behaviour Technology (CobTek), Université Côte d'Azur (UCA)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice), Hôpital Corentin Celton [Issy-les-Moulineaux], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Nuffield Department of Clinical Neurosciences [Oxford], University of Oxford [Oxford], Spatio-Temporal Activity Recognition Systems (STARS), AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Comportement et noyaux gris centraux = Behavior and Basal Ganglia [Rennes], Institut des Neurosciences Cliniques de Rennes (INCR)-CHU Pontchaillou [Rennes]-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Universidad de Santiago de Chile [Santiago] (USACH), University of Campinas (UNICAMP), Fondazione Don Carlo Gnocchi, School for Mental Health and Neuroscience - Alzheimer Center Limburg (MUMC), Maastricht University [Maastricht], Palo Alto Veterans Affairs Health care System, ANR: 15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), Institut National de Recherche en Informatique et en Automatique (Inria), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), and Université Nice Sophia Antipolis (1965 - 2019) (UNS)
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Male ,0301 basic medicine ,medicine.medical_specialty ,assessment ,Apathy ,Audiology ,Paralanguage ,Voice analysis ,[SCCO]Cognitive science ,03 medical and health sciences ,0302 clinical medicine ,Speech Production Measurement ,medicine ,Humans ,Speech ,Dementia ,Prosody ,ComputingMilieux_MISCELLANEOUS ,Aged ,MESH: Voice analysis ,Environmental Biomarkers ,MESH: Machine Learning ,General Neuroscience ,speech analysis ,MESH: Assessment ,MESH: Speech Analysis ,Cognition ,General Medicine ,MESH: Apathy ,medicine.disease ,MESH: Neuropsychiatric Symptoms ,voice analysis ,Psychiatry and Mental health ,Clinical Psychology ,machine learning ,030104 developmental biology ,Formant ,Female ,neuropsychiatric symptoms ,Geriatrics and Gerontology ,medicine.symptom ,Cognition Disorders ,Psychology ,Neurocognitive ,030217 neurology & neurosurgery - Abstract
International audience; Background: Apathy is present in several psychiatric and neurological conditions and has been found to have a severe negative effect on disease progression. In older people, it can be a predictor of increased dementia risk. Current assessment methods lack objectivity and sensitivity, thus new diagnostic tools and broad-scale screening technologies are needed. Objective: This study is the first of its kind aiming to investigate whether automatic speech analysis could be used for characterization and detection of apathy. Methods: A group of apathetic and non-apathetic patients (n = 60) with mild to moderate neurocognitive disorder were recorded while performing two short narrative speech tasks. Paralinguistic markers relating to prosodic, formant, source, and temporal qualities of speech were automatically extracted, examined between the groups and compared to baseline assessments. Machine learning experiments were carried out to validate the diagnostic power of extracted markers.Results: Correlations between apathy sub-scales and features revealed a relation between temporal aspects of speech and the subdomains of reduction in interest and initiative, as well as between prosody features and the affective domain. Group differences were found to vary for males and females, depending on the task. Differences in temporal aspects of speech were found to be the most consistent difference between apathetic and non-apathetic patients. Machine learning models trained on speech features achieved top performances of AUC = 0.88 for males and AUC = 0.77 for females. Conclusions: These findings reinforce the usability of speech as a reliable biomarker in the detection and assessment of apathy.
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- 2019
5. Dementia in Latin America: Paving the way toward a regional action plan
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Parra, Mario Alfredo, Baez, Sandra, Sedeño, Lucas, Gonzalez Campo, Cecilia, Santamaría-García, Hernando, Aprahamian, Ivan, Bertolucci, Paulo Hf, Bustin, Julian, Camargos Bicalho, Maria Aparecida, Cano-Gutierrez, Carlos, Caramelli, Paulo, Chaves, Marcia LF, Cogram, Patricia, Beber, Bárbara Costa, Court, Felipe A, de Souza, Leonardo Cruz, Custodio, Nilton, Damian, Andres, de la Cruz, Myriam, Diehl Rodriguez, Roberta, Brucki, Sonia Maria Dozzi, Fajersztajn, Lais, Farías, Gonzalo A, De Felice, Fernanda G, Ferrari, Raffaele, de Oliveira, Fabricio Ferreira, Ferreira, Sergio T, Ferretti, Ceres, Figueredo Balthazar, Marcio Luiz, Ferreira Frota, Norberto Anizio, Fuentes, Patricio, García, Adolfo M, Garcia, Patricia J, de Gobbi Porto, Fábio Henrique, Duque Peñailillo, Lissette, Engler, Henry Willy, Maier, Irene, Mata, Ignacio F, Gonzalez-Billault, Christian, Lopez, Oscar L, Morelli, Laura, Nitrini, Ricardo, Quiroz, Yakeel T, Guerrero Barragan, Alejandra, Huepe, David, Pio, Fabricio Joao, Suemoto, Claudia Kimie, Kochhann, Renata, Kochen, Silvia, Kumfor, Fiona, Lanata, Serggio, Miller, Bruce, Mansur, Leticia Lessa, Hosogi, Mirna Lie, Lillo, Patricia, Llibre Guerra, Jorge, Lira, David, Lopera, Francisco, Comas, Adelina, Avila-Funes, José Alberto, Sosa, Ana Luisa, Ramos, Claudia, Resende, Elisa de Paula França, Snyder, Heather M, Tarnanas, Ioannis, Yokoyama, Jenifer, Llibre, Juan, Cardona, Juan Felipe, Possin, Kate, Kosik, Kenneth S, Montesinos, Rosa, Moguilner, Sebastian, Solis, Patricia Cristina Lourdes, Ferretti-Rebustini, Renata Eloah de Lucena, Ramirez, Jeronimo Martin, Matallana, Diana, Mbakile-Mahlanza, Lingani, Marques Ton, Alyne Mendonça, Tavares, Ronnielly Melo, Miotto, Eliane C, Muniz-Terrera, Graciela, Muñoz-Nevárez, Luis Arnoldo, Orozco, David, Okada de Oliveira, Maira, Piguet, Olivier, Pintado Caipa, Maritza, Piña Escudero, Stefanie Danielle, Schilling, Lucas Porcello, Rodrigues Palmeira, André Luiz, Yassuda, Mônica Sanches, Santacruz-Escudero, Jose Manuel, Serafim, Rodrigo Bernardo, Smid, Jerusa, Slachevsky, Andrea, Serrano, Cecilia, Soto-Añari, Marcio, Takada, Leonel Tadao, Grinberg, Lea Tenenholz, Teixeira, Antonio Lucio, and Barbosa, Maira Tonidandel
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clinical trials ,Aging ,Prevention ,Clinical Sciences ,Neurosciences ,biomarkers ,networking and translational research ,evidence-based recommendations ,Brain Disorders ,Latin America ,Socioeconomic Factors ,knowledge to action framework ,Clinical Research ,Geriatrics ,Evidence-Based Practice ,nonpharmacological interventions ,Neurological ,Acquired Cognitive Impairment ,Humans ,epidemiology ,genetics ,Dementia - Abstract
Across Latin American and Caribbean countries (LACs), the fight against dementia faces pressing challenges, such as heterogeneity, diversity, political instability, and socioeconomic disparities. These can be addressed more effectively in a collaborative setting that fosters open exchange of knowledge. In this work, the Latin American and Caribbean Consortium on Dementia (LAC-CD) proposes an agenda for integration to deliver a Knowledge to Action Framework (KtAF). First, we summarize evidence-based strategies (epidemiology, genetics, biomarkers, clinical trials, nonpharmacological interventions, networking, and translational research) and align them to current global strategies to translate regional knowledge into transformative actions. Then we characterize key sources of complexity (genetic isolates, admixture in populations, environmental factors, and barriers to effective interventions), map them to the above challenges, and provide the basic mosaics of knowledge toward a KtAF. Finally, we describe strategies supporting the knowledge creation stage that underpins the translational impact of KtAF.
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- 2021
6. Additional file 1 of GERO Cohort Protocol, Chile, 2017–2022: Community-based Cohort of Functional Decline in Subjective Cognitive Complaint elderly
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Slachevsky, Andrea, Zitko, Pedro, Martínez-Pernía, David, Forno, Gonzalo, Court, Felipe A., Lillo, Patricia, Villagra, Roque, Duran-Aniotz, Claudia, Parrao, Teresa, Assar, Rodrigo, Orellana, Paulina, Toledo, Carolina, Rivera, Rodrigo, Ibañez, Agustín, Parra, Mario A., González-Billault, Christian, Amieva, Helena, and Thumala, Daniela
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Data_FILES - Abstract
Additional file 1.
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- 2020
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7. A STUDY BASED ON THE EMBODIED EMOTION APPROACH: THE RECOGNITION OF WHOLE-BODY SOCIAL EMOTIONS AND THE POSTURAL CONTROL IN ALZHEIMER'S DISEASE DEMENTIA, PARKINSON'S DISEASE AND HEALTHY CONTROL
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Martínez-Pernía, David, Rivera-Rei, Álvaro, Forno, Gonzalo, Troncoso, Alejandro, Aravena, Oliver, Vergara, Mayte, Silva, Victoria, Carrera, Valentina, Calderón, Jorge, Cea, Ignacio, Henríquez, Fernando, Lillo, Patricia, Villagra, Roque, and Slachevsky, Andrea
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- 2020
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8. Supplementary methods and results from Feeling, learning from and being aware of inner states: interoceptive dimensions in neurodegeneration and stroke
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García-Cordero, Indira, Sedeño, Lucas, Fuente, Laura De La, Slachevsky, Andrea, Forno, Gonzalo, Klein, Francisco, Lillo, Patricia, Ferrari, Jessica, Rodriguez, Clara, Bustin, Julian, Torralva, Teresa, Baez, Sandra, Yoris, Adrian, Esteves, Sol, Melloni, Margherita, Salamone, Paula, Huepe, David, Manes, Facundo, García, Adolfo M., and Ibañez, Agustín
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Interoception is a complex process encompassing multiple dimensions, such as accuracy, learning and awareness. Here, we examined whether each of those dimensions relies on specialized neural regions distributed throughout the vast interoceptive network. To this end, we obtained relevant measures of cardiac interoception in healthy subjects and patients offering contrastive lesion models of neurodegeneration and focal brain damage: behavioural variant fronto-temporal dementia (bvFTD), Alzheimer's disease (AD) and fronto-insular stroke. Neural correlates of the three dimensions were examined through structural and functional resting-state imaging, and online measurements of the heart-evoked potential (HEP). The three patient groups presented deficits in interoceptive accuracy, associated with insular damage, connectivity alterations and abnormal HEP modulations. Interoceptive learning was differentially impaired in AD patients, evidencing a key role of memory networks in this skill. Interoceptive awareness results showed that bvFTD and AD patients overestimated their performance; this pattern was related to abnormalities in anterior regions and associated networks sub-serving metacognitive processes, and probably linked to well-established insight deficits in dementia. Our findings indicate how damage to specific hubs in a broad fronto-temporo-insular network differentially compromises interoceptive dimensions, and how such disturbances affect widespread connections beyond those critical hubs. This is the first study in which a multiple lesion model reveals fine-grained alterations of body sensing, offering new theoretical insights into neuroanatomical foundations of interoceptive dimensions.This article is part of the themed issue ‘Interoception beyond homeostasis: affect, cognition and mental health’.
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- 2016
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