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1. brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Author

Hayashi, Soichi, Caron, Bradley A., Heinsfeld, Anibal Sólon, Vinci-Booher, Sophia, McPherson, Brent, Bullock, Daniel N., Bertò, Giulia, Niso, Guiomar, Hanekamp, Sandra, Levitas, Daniel, Ray, Kimberly, MacKenzie, Anne, Kitchell, Lindsey, Leong, Josiah K., Nascimento-Silva, Filipi, Koudoro, Serge, Willis, Hanna, Jolly, Jasleen K., Pisner, Derek, Zuidema, Taylor R., Kurzawski, Jan W., Mikellidou, Kyriaki, Bussalb, Aurore, Rorden, Christopher, Victory, Conner, Bhatia, Dheeraj, Aydogan, Dogu Baran, Yeh, Fang-Cheng F., Delogu, Franco, Guaje, Javier, Veraart, Jelle, Bollman, Steffen, Stewart, Ashley, Fischer, Jeremy, Faskowitz, Joshua, Chaumon, Maximilien, Fabrega, Ricardo, Hunt, David, McKee, Shawn, Brown, Shawn T., Heyman, Stephanie, Iacovella, Vittorio, Mejia, Amanda F., Marinazzo, Daniele, Craddock, R. Cameron, Olivetti, Emanuele, Hanson, Jamie L., Avesani, Paolo, Garyfallidis, Eleftherios, Stanzione, Dan, Carson, James, Henschel, Robert, Hancock, David Y., Stewart, Craig A., Schnyer, David, Eke, Damian O., Poldrack, Russell A., George, Nathalie, Bridge, Holly, Sani, Ilaria, Freiwald, Winrich A., Puce, Aina, Port, Nicholas L., and Pestilli, Franco

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Quantitative Biology - Neurons and Cognition, Quantitative Biology - Quantitative Methods
Abstract

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research.

Published
2023
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3. BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis, George, Nathalie, Hugueville, Laurent, Kahn, Ari E., Dupont, Sophie, Bassett, Danielle S., and Fallani, Fabrizio De Vico

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users. The involved learning process induces neural changes associated with a brain network reorganization that remains poorly understood. To address this inter-subject variability, we adopted a multilayer approach to integrate brain network properties from electroencephalographic (EEG) and magnetoencephalographic (MEG) data resulting from a four-session BCI training program followed by a group of healthy subjects. Our method gives access to the contribution of each layer to multilayer network that tends to be equal with time. We show that regardless the chosen modality, a progressive increase in the integration of somatosensory areas in the alpha band was paralleled by a decrease of the integration of visual processing and working memory areas in the beta band. Notably, only brain network properties in multilayer network correlated with future BCI scores in the alpha2 band: positively in somatosensory and decision-making related areas and negatively in associative areas. Our findings cast new light on neural processes underlying BCI training. Integrating multimodal brain network properties provides new information that correlates with behavioral performance and could be considered as a potential marker of BCI learning., Comment: This is the version of the article before editing, as submitted by an author to the Journal of Neural Engineering. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online athttp://iopscience.iop.org/article/10.1088/1741-2552/abef39

Published
2020
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4. Time course of EEG oscillations during creative problem solving

Author

Bieth, Théophile, Ovando Tellez, Marcela, Lopez-Persem, Alizée, Garcin, Béatrice, Hugueville, Laurent, Lehongre, Katia, George, Nathalie, and Volle, Emmanuelle

Subjects
cognitive science
Abstract

The Remote Associates Test is a creativity task that consists in finding a word that connects three unrelated words. We examined EEG power in healthy participants performing an adaptation of this task that allowed us to explore two mechanisms: remote semantic combination by varying the associative strength between the cue words and the solution, and the insight phenomenon reported by the subjects. Time-frequency analyses revealed that associative remoteness was associated with early synchronization in alpha and beta bands in laterotemporal and temporoparietal clusters and late frontal activity in the theta band just before the participants found the solution. Insight was associated with synchronization in alpha and gamma bands in inferotemporal clusters and a frontal synchronization in the theta band just preceded the response. Our findings provide new insights on the dynamic mechanisms involved in this verbal creativity task.

Published
2021

5. Basal Forebrain Volume, but Not Hippocampal Volume, Is a Predictor of Global Cognitive Decline in Patients With Alzheimer's Disease Treated With Cholinesterase Inhibitors

Author

Teipel, Stefan J, Cavedo, Enrica, Hampel, Harald, Grothe, Michel J, Initiative, Alzheimer's Disease Neuroimaging, Initiative, Alzheimer Precision Medicine, Aguilar, Lisi Flores, Babiloni, Claudio, Baldacci, Filippo, Benda, Norbert, Black, Keith L, Bokde, Arun LW, Bonuccelli, Ubaldo, Broich, Karl, Bun, René S, Cacciola, Francesco, Castrillo, Juan, Ceravolo, Roberto, chiesa, Patrizia A, Colliot, Olivier, Coman, Cristina-Maria, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L, Depypere, Herman, Dubois, Bruno, Duggento, Andrea, Durrleman, Stanley, Escott-price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A, Garaci, Francesco, Genthon, Remy, George, Nathalie, Giorgi, Filippo S, Graziani, Manuela, Haberkamp, Marion, Habert, Marie-Odile, Herholz, Karl, Karran, Eric, Seung, H KIM, Koronyo, Yosef, Koronyo-Hamaoui, Maya, Lamari, Foudil, Langevin, Todd, Lehéricy, Stéphane, Lista, Simone, Lorenceau, Jean, Mapstone, Mark, Neri, Christian, Nisticò, Robert, Nyasse-Messene, Francis, O'Bryant, Sid E, Perry, George, Ritchie, Craig, Rojkova, Katrine, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S, Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R, Vergallo, Andrea, Villain, Nicolas, Welikovitch, Lindsay A, Woodcock, Janet, and Younesi, Erfan

Subjects
Biological Psychology, Psychology, Neurosciences, Brain Disorders, Dementia, Neurodegenerative, Clinical Research, Acquired Cognitive Impairment, Behavioral and Social Science, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Neurological, Alzheimer's Disease Neuroimaging Initiative, Alzheimer Precision Medicine Initiative, MRI, basal forebrain, cholinergic treatment, executive function, hippocampus, memory, prediction, Clinical Sciences, Clinical sciences, Biological psychology
Abstract

Background: Predicting the progression of cognitive decline in Alzheimer's disease (AD) is important for treatment selection and patient counseling. Structural MRI markers such as hippocampus or basal forebrain volumes might represent useful instruments for the prediction of cognitive decline. The primary objective was to determine the predictive value of hippocampus and basal forebrain volumes for global and domain specific cognitive decline in AD dementia during cholinergic treatment. Methods: We used MRI and cognitive data from 124 patients with the clinical diagnosis of AD dementia, derived from the ADNI-1 cohort, who were on standard of care cholinesterase inhibitor treatment during a follow-up period between 0.4 and 3.1 years. We used linear mixed effects models with cognitive function as outcome to assess the main effects as well as two-way interactions between baseline volumes and time controlling for age, sex, and total intracranial volume. This model accounts for individual variation in follow-up times. Results: Basal forebrain volume, but not hippocampus volume, was a significant predictor of rates of global cognitive decline. Larger volumes were associated with smaller rates of cognitive decline. Left hippocampus volume had a modest association with rates of episodic memory decline. Baseline performance in global cognition and memory was significantly associated with hippocampus and basal forebrain volumes; in addition, basal forebrain volume was associated with baseline performance in executive function. Conclusions: Our findings indicate that in AD dementia patients, basal forebrain volume may be a useful marker to predict subsequent cognitive decline during cholinergic treatment.

Published
2018

10. Time course of EEG power during creative problem‐solving with insight or remote thinking.

Author

Bieth, Théophile, Ovando‐Tellez, Marcela, Lopez‐Persem, Alizée, Garcin, Béatrice, Hugueville, Laurent, Lehongre, Katia, Levy, Richard, George, Nathalie, and Volle, Emmanuelle

Subjects
PROBLEM solving, ELECTROENCEPHALOGRAPHY, LEXICAL access, WORD recognition
Abstract

Problem‐solving often requires creativity and is critical in everyday life. However, the neurocognitive mechanisms underlying creative problem‐solving remain poorly understood. Two mechanisms have been highlighted: the formation of new connections among problem elements and insight solving, characterized by sudden realization of a solution. In this study, we investigated EEG activity during a modified version of the remote associates test, a classical insight problem task that requires finding a word connecting three unrelated words. This allowed us to explore the brain correlates associated with the semantic remoteness of connections (by varying the remoteness of the solution word across trials) and with insight solving (identified as a Eurêka moment reported by the participants). Semantic remoteness was associated with power increase in the alpha band (8–12 Hz) in a left parieto‐temporal cluster, the beta band (13–30 Hz) in a right fronto‐temporal cluster in the early phase of the task, and the theta band (3–7 Hz) in a bilateral frontal cluster just prior to participants' responses. Insight solving was associated with power increase preceding participants' responses in the alpha and gamma (31–60 Hz) bands in a left temporal cluster and the theta band in a frontal cluster. Source reconstructions revealed the brain regions associated with these clusters. Overall, our findings shed new light on some of the mechanisms involved in creative problem‐solving. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Correction: Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study

Author

Sakr, Fatemah A, Grothe, Michel J, Teipel, Stefan, Perry, George, Ritchie, Craig, Rojkova, Katrine, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S, Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R, Dubois, Bruno, Vergallo, Andrea, Villain, Nicolas, Welikovitch, Lindsay A, Woodcock, Janet, Younesi, Erfan, Hampel, Harald, group, INSIGHT-preAD study, Initiative, Alzheimer Precision Medicine, Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Cavedo, Enrica, Boukerrou, Nadia, Chiesa, Patrizia, Colliot, Olivier, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Jelistratova, Irina, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, de Schotten, Michel Thiebaud, Younsi, Nadjia, Aguilar, Lisi Flores, Dyrba, Martin, Babiloni, Claudio, Baldacci, Filippo, Benda, Norbert, Black, Keith L, Bokde, Arun L W, Bonuccelli, Ubaldo, Broich, Karl, Bun, René S, Cacciola, Francesco, Castrillo, Juan, Gonzalez-Escamilla, Gabriel, Ceravolo, Roberto, Chiesa, Patrizia A, Coman, Cristina-Maria, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L, Depypere, Herman, Duggento, Andrea, Durrleman, Stanley, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A, Garaci, Francesco, George, Nathalie, Locatelli, Maxime, Giorgi, Filippo S, Graziani, Manuela, Haberkamp, Marion, Herholz, Karl, Karran, Eric, Kim, Seung H, Koronyo, Yosef, Koronyo-Hamaoui, Maya, Lehericy, Stephane, Langevin, Todd, Lehéricy, Stéphane, Lorenceau, Jean, Mapstone, Mark, Neri, Christian, Nisticò, Robert, Nyasse-Messene, Francis, and O'bryant, Sid E

Subjects
Neurology, Cognitive Neuroscience, ddc:610, Neurology (clinical)
Published
2022

12. Functional connectivity predicts MI-based BCI learning

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis, George, Nathalie, Hugueville, Laurent, Kahn, Ari E., Dupont, Sophie, Bassett, Danielle, de Vico Fallani, Fabrizio, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), University of Pennsylvania, This work was partially supported by the program 'Investissements d'avenir' ANR-10-IAIHU-06, 'ANR-NIH CRCNS' ANR-15-NEUC-0006-02 and by NICHD 1R01HD086888-01, ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010), ANR-15-NEUC-0006,NETBCI,US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks(2015), Corsi, Marie-Constance, Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID, and US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks - - NETBCI2015 - ANR-15-NEUC-0006 - CRCNS - VALID

Subjects
[SDV] Life Sciences [q-bio], [SPI]Engineering Sciences [physics], [SPI] Engineering Sciences [physics], [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], [MATH]Mathematics [math]
Abstract

International audience; Non-invasive Brain-Computer Interfaces (BCIs) can exploit the ability of subjects to voluntary modulate their brain activity through mental imagery. Despite its clinical applications, controlling a BCI appears to be a learned skill that requires several weeks to reach relatively high-performance in control, without being sufficient for 15 to 30 % of the users. This gap has motivated a deeper understanding of mechanisms associated with motor imagery (MI) tasks. Here, we investigated dynamical changes in terms of cortical activations and network recruitment. We hypothesized that the associated characteristics would be able to predict the success of learning.

Published
2022

13. Exploiting brain critical dynamics to inform Brain-Computer Interfaces

Author

Sorrentino, Pierpaolo, Corsi, Marie-Constance, Schwartz, Denis P, George, Nathalie, Hugueville, Laurent, Kahn, Ari, Dupont, Sophie, Bassett, Danielle, de Vico Fallani, Fabrizio, Jirsa, Viktor, Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, European Project: 864729,H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC),BCINET(2020), European Project: 826421,TVB-Cloud (2018), European Project: 945539,H2020,H2020-SGA-FETFLAG-HBP-2019,HBP SGA3(2020), Corsi, Marie-Constance, Non-invasive decoding of brain communication patterns to ease motor restoration after stroke - BCINET - - H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)2020-10-01 - 2025-09-30 - 864729 - VALID, VirtualBrainCloud - TVB-Cloud - 2018-12-01 - 2022-11-30 - 826421 - VALID, and Human Brain Project Specific Grant Agreement 3 - HBP SGA3 - - H20202020-01-01 - 2023-09-30 - 945539 - VALID

Subjects
[SCCO]Cognitive science, [INFO]Computer Science [cs], [MATH] Mathematics [math], [SCCO] Cognitive science, [MATH]Mathematics [math], [INFO] Computer Science [cs]
Abstract

International audience; Brain-Computer Interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive BCI systems remains a learned skill difficult to develop for a non-negligible proportion of users. Even though similarities have been shown between MI-based BCI learning and motor sequence learning our understanding of the dynamical processes, and their reflection on brain signals during BCI performance is still incomplete. In particular, whole-brain functional imaging is dominated by a ‘bursty’ dynamics, “neuronal avalanches”, with fast, fat-tailed distributed, aperiodic perturbations spreading across the whole brain. Neuronal avalanches evolve over a manifold during resting-state, generating a rich functionalconnectivity dynamics. In this work, we evaluated to which extent neuronal avalanches can be used as a tool to differentiate mental states in the context of BCI experiments.

Published
2022

14. M/EEG networks integration to elicit patters of motor imagery-based Brain-Computer Interface (BCI) training

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis P, George, Nathalie, Hugueville, Laurent, Kahn, Ari, Dupont, Sophie, Bassett, Danielle, de Vico Fallani, Fabrizio, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, This work was partially supported by the program 'Investissements d'avenir' ANR-10-IAIHU-06, 'ANR-NIH CRCNS' ANR-15-NEUC-0006-02 and by NICHD 1R01HD086888-01., ANR-15-NEUC-0006,NETBCI,US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks(2015), ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010), Corsi, Marie-Constance, US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks - - NETBCI2015 - ANR-15-NEUC-0006 - CRCNS - VALID, and Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID

Subjects
[SCCO]Cognitive science, [INFO]Computer Science [cs], [MATH] Mathematics [math], [SCCO] Cognitive science, [INFO] Computer Science [cs], [MATH]Mathematics [math]
Abstract

International audience; Non-invasive Brain-Computer Interfaces (BCIs) can exploit the ability of subjects to voluntary modulate their brain activity through mental imagery. Despite its clinical applications, controlling a BCI appears to be a learned skill that requires several weeks to reach relatively high-performance in control, without being sufficient for 15 to 30 % of the users [1]. This gap has motivated a deeper understanding of mechanisms associated with motor imagery (MI) tasks. Here, we investigated dynamical changes in multimodal network recruitment. We hypothesized that integrating information from EEG and MEG data, show a better description of the core-periphery changes occurring during a motor imagery-based BCI training. Such an enriched description could reveal fresh insights into learning processes that are difficult to observe at the signle layer level and eventually improve the prediction of future BCI performance.multimodal brain network properties could be considered as a potential marker of BCI learning.

Published
2022

15. M/EEG networks integration to elicit patterns of motor imagery-based BCI training

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis P, George, Nathalie, Hugueville, Laurent, Kahn, Ari, Dupont, Sophie, Bassett, Danielle, de Vico Fallani, Fabrizio, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, This work was partially supported by the program 'Investissements d'avenir' ANR-10-IAIHU-06, 'ANR-NIH CRCNS' ANR-15-NEUC-0006-02 and by NICHD 1R01HD086888-01., ANR-15-NEUC-0006,NETBCI,US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks(2015), Corsi, Marie-Constance, and US-France Research Proposal- Modeling and Predicting Brain-Computer Interface Learning from Dynamic Networks - - NETBCI2015 - ANR-15-NEUC-0006 - CRCNS - VALID

Subjects
[SCCO]Cognitive science, [INFO]Computer Science [cs], [MATH] Mathematics [math], [SCCO] Cognitive science, [INFO] Computer Science [cs], [MATH]Mathematics [math]
Abstract

International audience; Non-invasive Brain-Computer Interfaces (BCIs) can exploit the ability of subjects to voluntary modulate their brain activity through mental imagery. Despite its clinical applications, controlling a BCI appears to be a learned skill that requires several weeks to reach relatively high-performance in control, without being sufficient for 15 to 30 % of the users [1]. This gap has motivated a deeper understanding of mechanisms associated with motor imagery (MI) tasks. Here, we investigated dynamical changes in multimodal network recruitment. We hypothesized that integrating information from EEG and MEG data, show a better description of the core-periphery changes occurring during a motor imagery-based BCI training. Such an enriched description could reveal fresh insights into learning processes that are difficult to observe at the signle layer level and eventually improve the prediction of future BCI performance.multimodal brain network properties could be considered as a potential marker of BCI learning.

Published
2022

19. Functional connectivity predicts MI-based BCI learning (oral presentation)

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis, George, Nathalie, Hugueville, Laurent, Kahn, Ari E., Dupont, Sophie, Bassett, Danielle, De Vico Fallani, Fabrizio, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), University of Pennsylvania, Corsi, Marie-Constance, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania [Philadelphia], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV] Life Sciences [q-bio], [SPI]Engineering Sciences [physics], [SPI] Engineering Sciences [physics], [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

21. Core-periphery markers of longitudinal BCI from multiplex brain networks

Author

Corsi, Marie-Constance, Chavez, Mario, Schwartz, Denis, George, Nathalie, Hugueville, Laurent, Kahn, Ari E., Dupont, Sophie, Bassett, Danielle, de Vico Fallani, Fabrizio, Corsi, Marie-Constance, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania [Philadelphia], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV] Life Sciences [q-bio], [SPI]Engineering Sciences [physics], [SPI] Engineering Sciences [physics], [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

24. Protective anti‐prion antibodies in human immunoglobulin repertoires

Author

Senatore, Assunta, primary, Frontzek, Karl, additional, Emmenegger, Marc, additional, Chincisan, Andra, additional, Losa, Marco, additional, Reimann, Regina, additional, Horny, Geraldine, additional, Guo, Jingjing, additional, Fels, Sylvie, additional, Sorce, Silvia, additional, Zhu, Caihong, additional, George, Nathalie, additional, Ewert, Stefan, additional, Pietzonka, Thomas, additional, Hornemann, Simone, additional, and Aguzzi, Adriano, additional

Published
2020
Full Text
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25. Perception's shadow: Long-distance synchronization of human brain activity

Author

Rodriguez, Eugenio, George, Nathalie, Lachaux, Jean-Philippe, Martinerie, Jacques, Renault, Bernard, and Varela, Francisco J.

Subjects
Oscillation -- Observations, Perception -- Research, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Gamma oscillations in humans have been described in both the scalp and in intracortical recordings, although the direct participation of synchrony in a cognitive task has not been demonstrated. Electrical brain activity of subjects viewing ambiguous visual stimuli were recorded, and it was found that only face perception induces a long-distance synchronization pattern, linked to the moment of perception. Desynchronization marks the transition and this may reflect active uncoupling of the underlying neural ensembles.

Published
1999

26. Belgium bridges the ETCS gap: migrating from conventional signalling to ETCS is a daunting prospect for even the most advanced railways, but a little lateral thinking by Siemens and Infrabel has generated an elegant solution, as Siemens' ETCS project manager, Belgium, Nathalie George, explains

Author

George, Nathalie

Subjects
Control systems, Railroads, Business, Transportation industry
Abstract

BELGIUM (along with Switzerland) has a pilot role in implementing the European Train Control System (ETCS). Despite the introduction of ETCS Level 2, Belgium has not opted for a countrywide [...]

Published
2008

29. Neural activity to viewed dynamic gaze is affected by social decision

Author

Latinus Marianne, Huang Lisa, Love Scott, Conty Laurence, Parada Francisco, Puce Aina, James Karin, Rossi Alejandra, George Nathalie, Psychological and Brain Sciences, Indiana University System, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV]Life Sciences [q-bio], Social decision, gaze, 050105 experimental psychology, 03 medical and health sciences, Behavioral Neuroscience, Neural activity, 0302 clinical medicine, social attention, 0501 psychology and cognitive sciences, EEG, Biological Psychiatry, ComputingMilieux_MISCELLANEOUS, Communication, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, 05 social sciences, social perception, eyes, ERPs, Gaze, Psychiatry and Mental health, Neuropsychology and Physiological Psychology, Neurology, Gaze Direction, N170, Psychology, business, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

International audience

Published
2014

30. Distorted Temporal Consciousness and preserved Knowing Consciousness in confabulation: A case study

Author

La Corte, Valentina, George, Nathalie, Pradat-Diehl, Pascale, Barba, Gianfranco Dalla, La Corte, V., George, N., Pradat Diehl, P., and DALLA BARBA, Gianfranco

Subjects
Adult, Male, Brain Mapping, Brain, Neurosciences. Biological psychiatry. Neuropsychiatry, General Medicine, Neuropsychological Tests, consciousness, Magnetic Resonance Imaging, memory, Neuropsychology and Physiological Psychology, Neurology, consciousne, confabulation, Humans, Neurology (clinical), Amnesia, Psychological Theory, RC321-571, Research Article
Abstract

In this study we describe a patient, TA, who developed a chronic amnesic-confabulatory syndrome, following rupture of a right internal carotid siphon aneurysm. Our aim was to elucidate as fully as possible the nature of TA's impairment and to test the hypothesis of confabulation as reflecting a dysfunction of Temporal Consciousness, i.e., to become aware of something as part of a personal past, present or future. TA's confabulations were present in answers to questions tapping Temporal Consciousness, i.e., autobiographical episodic memory, orientation in time and place, and foresight of personal future. In contrast, confabulations were not observed in answers to questions tapping Knowing Consciousness, i.e., to become aware of something as a meaning or as an element of impersonal knowledge. In fact, he had normal access to semantic knowledge, including foresight of impersonal future. TA's brain MRI showed lesions involving the right hippocampus, parahippocampal gyrus, fornix, mammillary bodies, and thalamus. Moreover TA showed sub-cortical lesions involving the caudate and putamen nuclei bilaterally, a lesion site not commonly described in amnesic-confabulatory syndrome. We suggest that this pattern of results is better accounted for within the framework of the Memory, Consciousness and Temporality Theory and reflects a specific distortion of Temporal Consciousness.

Published
2011

45. Eye contact with neutral and smiling faces: effects on autonomic responses and frontal EEG asymmetry.

Author

Pönkänen, Laura M., Hietanen, Jari K., Schilbach, Leonhard, George, Nathalie, Calder, Andy, and Gamer, Matthias

Subjects
BRAIN function localization, BRAIN physiology, BRAIN stimulation, NEUROSCIENCES, NEURAL stimulation, ELECTROENCEPHALOGRAPHY
Abstract

In our previous studies we have shown that seeing another person "live" with a direct vs. averted gaze results in enhanced skin conductance responses (SCRs) indicating autonomic arousal and in greater relative left-sided frontal activity in the electroencephalography (asymmetry in the alpha-band power), associated with approach motivation. In our studies, however, the stimulus persons had a neutral expression. In real-life social interaction, eye contact is often associated with a smile, which is another signal of the sender's approach-related motivation. A smile could, therefore, enhance the affective-motivational responses to eye contact. In the present study, we investigated whether the facial expression (neutral vs. social smile) would modulate autonomic arousal and frontal EEG alpha-band asymmetry to seeing a direct vs. an averted gaze in faces presented "live" through a liquid crystal (LC) shutter. The results showed that the SCRs were greater for the direct than the averted gaze and that the effect of gaze direction was more pronounced for a smiling than a neutral face. However, in this study, gaze direction and facial expression did not affect the frontal EEG asymmetry, although, for gaze direction, we found a marginally significant correlation between the degree of an overall bias for asymmetric frontal activity and the degree to which direct gaze elicited stronger left-sided frontal activity than did averted gaze. [ABSTRACT FROM AUTHOR]

Published
2012
Full Text
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46. Distorted Temporal Consciousness and preserved Knowing Consciousness in confabulation: A case study.

Author

Manes, F., Gleichgerrcht, E., La Corte, Valentina, George, Nathalie, Pradat-Diehl, Pascale, and Barba, Gianfranco Dalla

Subjects
CONSCIOUSNESS, NEUROBIOLOGY, CAROTID artery injuries, ANEURYSMS, TRANSACTIONAL analysis, CASE studies, AMNESIA, MEMORY disorders
Abstract

In this study we describe a patient, TA, who developed a chronic amnesic-confabulatory syndrome, following rupture of a right internal carotid siphon aneurysm. Our aim was to elucidate as fully as possible the nature of TA's impairment and to test the hypothesis of confabulation as reflecting a dysfunction of Temporal Consciousness, i.e. to become aware of something as part of a personal past, present or future. TA's confabulations were present in answers to questions tapping Temporal Consciousness, i.e. autobiographical episodic memory, orientation in time and place, and foresight of personal future. In contrast, confabulations were not observed in answers to questions tapping Knowing Consciousness, i.e. to become aware of something as a meaning or as an element of impersonal knowledge. In fact, he had normal access to semantic knowledge, including foresight of impersonal future. TA's brain MRI showed lesions involving the right hippocampus, parahippocampal gyrus, fornix, mammillary bodies, and thalamus. Moreover TA showed sub-cortical lesions involving the caudate and putamen nuclei bilaterally, a lesion site not commonly described in amnesic-confabulatory syndrome. We suggest that this pattern of results is better accounted for within the framework of the Memory, Consciousness and Temporality Theory and reflects a specific distortion of Temporal Consciousness. [ABSTRACT FROM AUTHOR]

Published
2011

47. Visual Information Routes in the Posterior Dorsal and Ventral Face Network Studied with Intracranial Neurophysiology and White Matter Tract Endpoints

Author

Vera Dinkelacker, Claude Adam, Katia Lehongre, Virginie Lambrecq, Franco Pestilli, Mariana Babo-Rebelo, Aina Puce, Nathalie George, Daniel Bullock, Laurent Hugueville, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Center for NeuroImaging Research - CENIR, Sorbonne Université (SU), Le Centre de Magnétoencéphalographie et d'Electroencéphalographie [CHU Pitié-Salpêtrière] (MEG-EEG), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University College of London [London] (UCL), Indiana University [Bloomington], Indiana University System, CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institute of Cognitive Neuroscience, University College London, Department of Psychological & Brain Sciences, Programs in Neuroscience, Cognitive Science, Indiana University, Department of Neurology, Rothschild Foundation, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), and GEORGE, Nathalie

Subjects
genetic structures, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, 0302 clinical medicine, Cortex (anatomy), media_common, Temporal cortex, 0303 health sciences, Brain Mapping, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, AcademicSubjects/SCI01870, iEEG, 05 social sciences, Electroencephalography, Superior temporal sulcus, Magnetic Resonance Imaging, White Matter, Temporal Lobe, medicine.anatomical_structure, [SCCO.PSYC] Cognitive science/Psychology, [SCCO.PSYC]Cognitive science/Psychology, Original Article, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Psychology, Cognitive Neuroscience, media_common.quotation_subject, Neurophysiology, emotion, occipitotemporal cortex, Intraparietal sulcus, Biology, Stimulus (physiology), gaze, 050105 experimental psychology, White matter, Cellular and Molecular Neuroscience, 03 medical and health sciences, Perception, medicine, Humans, 0501 psychology and cognitive sciences, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], AcademicSubjects/MED00385, 030304 developmental biology, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, face, Social cue, Gaze, AcademicSubjects/MED00310, Neuroscience, 030217 neurology & neurosurgery
Abstract

Occipito-temporal regions within the face network process perceptual and socio-emotional information, but the dynamics and interactions between different nodes within this network remain unknown. Here, we analyzed intracerebral EEG from 11 epileptic patients viewing a stimulus sequence beginning with a neutral face with direct gaze. The gaze could avert or remain direct, while the emotion changed to fearful or happy. N200 field potential peak latencies indicated that face processing begins in inferior occipital cortex and proceeds anteroventrally to fusiform and inferior temporal cortices, in parallel. The superior temporal sulcus responded preferentially to gaze changes with augmented field potential amplitudes for averted versus direct gaze, and large effect sizes relative to other regions of the network. An overlap analysis of posterior white matter tractography endpoints (from 1066 healthy brains) relative to active intracerebral electrodes from the 11 patients showed likely involvement of both dorsal and ventral posterior white matter pathways. The inferior occipital and temporal sulci likely broadcast their information - the former dorsally to intraparietal sulcus, and the latter between fusiform and superior temporal cortex. Overall, our data call for inclusion of inferior temporal cortex in face processing models, and anchor the superior temporal cortex in dynamic gaze processing.

Published
2021

48. Statistical power: implications for planning MEG studies

Author

Nathalie George, Aina Puce, Maximilien Chaumon, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Psychological & Brain Sciences, Programs in Neuroscience, Cognitive Science, Indiana University, GEORGE, Nathalie, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Boosting (machine learning), Computer science, Cognitive Neuroscience, Neurosciences. Biological psychiatry. Neuropsychiatry, Cognitive neuroscience, 050105 experimental psychology, Statistical power, Article, 03 medical and health sciences, 0302 clinical medicine, Sensor array, Position (vector), Orientation, Connectome, Humans, 0501 psychology and cognitive sciences, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Mathematics, Brain Mapping, MEG, Anatomical location, Human Connectome Project, [STAT.ME] Statistics [stat]/Methodology [stat.ME], Distance, business.industry, Orientation (computer vision), [SCCO.NEUR]Cognitive science/Neuroscience, 05 social sciences, [SCCO.NEUR] Cognitive science/Neuroscience, Brain, Magnetoencephalography, Pattern recognition, Electroencephalography, Neurophysiology, Amplitude, Neurology, Line (geometry), [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Noise (video), Artificial intelligence, Source modeling, business, Monte Carlo Method, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Simulation, 030217 neurology & neurosurgery, RC321-571
Abstract

Statistical power is key for robust, replicable science. Here, we systematically explored how numbers of trials and subjects affect statistical power in MEG sensor-level data. More specifically, we simulated “experiments” using the MEG resting-state dataset of the Human Connectome Project (HCP). We divided the data in two conditions, injected a dipolar source at a known anatomical location in the “signal condition”, but not in the “noise condition”, and detected significant differences at sensor level with classical paired t-tests across subjects. The group-level detectability of these simulated effects varied drastically with their anatomical origin. We thus examined in detail which spatial properties of the sources affected detectability, looking specifically at the distance and orientation of the source with respect to the closest sensor, and at the variability of these parameters across subjects. In line with previous single-subject studies, we found that the most detectable effects originate from source positions that are closest to the sensors and oriented tangentially with respect to the sensor array. In addition, cross-subject variability in orientation also affected group-level detectability, boosting detection in regions where this variability was small and hindering detection in regions where it was large. Incidentally, we observed a considerable covariation of source position, orientation, and their cross-subject variability in individual brain anatomical space, making it difficult to assess the impact of each of these variables independently of one another. Therefore, we performed an additional set of simulations with the same simulation strategy as before, but this time, controlling spatial properties independently of individual anatomy. This allowed us to disentangle the effects of position, orientation, and cross-subject variability of these properties on detectability, confirming the strong impact of distance and orientation. Moreover, it showed that orientation variability across subjects affects detectability, whereas position variability does not. Importantly, our study indicates that strict unequivocal recommendations as to the ideal number of trials and subjects for any experiment cannot be realistically provided for neurophysiological studies. Rather, it highlights the importance of considering the spatial constraints underlying expected sources of activity while planning experiments. This is particularly relevant for performing network level analyses in cognitive neuroscience studies, where nodes in a network cannot be considered equally detectable. Finally, we note that this variation in detectability may also partly account for the over-representation of some fields of study over others in the MEG domain (e.g. sensorimotor and auditory studies). Highlights Adequate sample size (number of subjects and trials) is key to robust neuroscience We simulated evoked MEG experiments and examined sensor-level detectability Statistical power varied by distance, orientation & between-subject variability Source detectability at sensor-level should be considered in network-based studies Select sample size for MEG source in the network that has lowest statistical power

Published
2021

49. Mind-Wandering Changes in Dysphoria

Author

Alice Guesdon, François-Xavier Lejeune, Jean-Yves Rotgé, Nathalie George, Philippe Fossati, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), GEORGE, Nathalie, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
cognition, lcsh:RC435-571, media_common.quotation_subject, [SDV]Life Sciences [q-bio], mood, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Dysphoria, tune-out, 03 medical and health sciences, 0302 clinical medicine, lcsh:Psychiatry, Mind-wandering, medicine, zone-out, Time orientation, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Major depressive episode, dysphoria, mind wandering, media_common, Original Research, Psychiatry, SART, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, General Commentary, Autobiographical memory, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Cognition, mind-wandering, 030227 psychiatry, mind blanking, experience sampling, Psychiatry and Mental health, Mood, depression, [SCCO.PSYC]Cognitive science/Psychology, [SCCO.PSYC] Cognitive science/Psychology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], medicine.symptom, Psychology, 030217 neurology & neurosurgery, Vigilance (psychology), Clinical psychology
Abstract

International audience; Changes in mind-wandering (MW) and involuntary autobiographical memory (IAM) in dysphoria have been explored with conflicting results. The aim of this study was to evaluate both MW and IAM in a group of 23 stable dysphoric participants compared to 37 controls and to compare their thoughts characteristics (i.e., specificity, visual perspective, time orientation, and emotional valence). To make this study comparable with previous research, we used two different monotonous vigilance tasks (with and without verbal interference stimuli). Our results showed a significantly greater focus on MW thoughts in dysphoria. The characteristics of spontaneous thoughts content did not differ significantly between our dysphoric participants and controls, which is not in favor of strong emotional dysfunction. Our results suggest a difficulty to regulate the occurrence of self-generated thoughts rather than their content, that may confer to dysphoric subjects increased cognitive risk to develop a major depressive episode.

Published
2020

50. A neuroscientific approach to increase gender equality

Author

Nicolas Renier, Violetta Zujovic, Cécile Delarasse, Bassem A. Hassan, Alexandra Durr, Nathalie George, Alexandra Auffret, Charlotte Rosso, Michel Thiebaut de Schotten, Magali Dumont, Eric Burguière, Emmanuelle Volle, Christiane Schreiweis, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Neurologie et thérapeutique expérimentale, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Neurobiologie des processus adaptatifs (NPA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Cogimage, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Institut de la Vision, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière (NEMESIS-CRICM), Université de Bordeaux (UB), Sorbonne Université (SU), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie de la Perception et de l'Action (LPPA), Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), GEORGE, Nathalie, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Social Psychology, Cognitive Neuroscience, Sexism, MEDLINE, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Experimental and Cognitive Psychology, Cognitive neuroscience, 050105 experimental psychology, 03 medical and health sciences, Behavioral Neuroscience, [SCCO]Cognitive science, 0302 clinical medicine, 5. Gender equality, Humans, 0501 psychology and cognitive sciences, 10. No inequality, ComputingMilieux_MISCELLANEOUS, Gender equality, Stereotyping, Gender identity, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, [SCCO.NEUR]Cognitive science/Neuroscience, 05 social sciences, [SCCO.NEUR] Cognitive science/Neuroscience, Academies and Institutes, Gender Identity, 16. Peace & justice, [SHS.GENRE] Humanities and Social Sciences/Gender studies, 3. Good health, Leadership, [SCCO.PSYC] Cognitive science/Psychology, [SCCO.PSYC]Cognitive science/Psychology, France, Psychology, [SHS.GENRE]Humanities and Social Sciences/Gender studies, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

International audience; To the Editor-Gender inequality is prevalent in many countries and cultures, and it persists despite our awareness of it and the policies some countries have put in place to combat it. France, for example, offers significant opportunities to enable women to handle both career and personal life: it provides a social healthcare system that was ranked No. 1 by the World Health Organization in 2000, a legal framework promoting gender equality 1 , and relatively accessible and affordable childcare and scholastic infrastructure. Herein lies the paradox: despite France having a strong reputation for providing a favourable social and professional context, French women still lag behind French men in their careers. One of the main reasons gender inequality persists despite this supportive infrastructure is the perpetuation of implicit biases and gender stereotypes. These shape the way we behave, our ability to recognize unequal treatment, the willingness of disadvantaged individuals to speak up, and even the research conducted in institutions that have been raising awareness of gender inequalities in science since 2001 2,3

Published
2019

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