Claire Cury

ORCID: 0000-0002-9903-7940
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Morphological variations and asymmetry
  • EEG and Brain-Computer Interfaces
  • Medical Image Segmentation Techniques
  • Advanced Neuroimaging Techniques and Applications
  • Epilepsy research and treatment
  • Image Retrieval and Classification Techniques
  • Neuroscience and Neuropharmacology Research
  • Mesenchymal stem cell research
  • Memory and Neural Mechanisms
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Alzheimer's disease research and treatments
  • Hemispheric Asymmetry in Neuroscience
  • Neural Networks and Applications
  • Genetic Associations and Epidemiology
  • Tissue Engineering and Regenerative Medicine
  • Genetics and Neurodevelopmental Disorders
  • Tryptophan and brain disorders
  • Muscle Physiology and Disorders
  • Treatment of Major Depression
  • Neurobiology of Language and Bilingualism
  • Genomic variations and chromosomal abnormalities
  • Neural and Behavioral Psychology Studies
  • Health, Environment, Cognitive Aging

Inserm
2013-2024

Centre National de la Recherche Scientifique
2013-2024

Institut de Recherche en Informatique et Systèmes Aléatoires
2018-2024

Université de Rennes
2018-2024

Institut des Sciences Cognitives Marc Jeannerod
2021

Institut du Cerveau
2012-2020

University College London
2016-2020

Institut national de recherche en informatique et en automatique
2013-2020

Université Rennes 2
2019

Sorbonne Université
2011-2018

The incomplete-hippocampal-inversion (IHI), also known as malrotation, is an atypical anatomical pattern of the hippocampus, which has been reported in healthy subjects different studies. However, extensive characterization IHI a large sample not yet performed. Furthermore, it unclear whether are restricted to medial-temporal lobe or associated with more changes. Here, we studied characteristics community-based 2008 IMAGEN database and their association extra-hippocampal variations. presence...

10.3389/fnana.2015.00160 article EN cc-by Frontiers in Neuroanatomy 2015-12-22

Abstract Combining EEG and fMRI allows for integration of fine spatial accurate temporal resolution yet presents numerous challenges, noticeably if performed in real-time to implement a Neurofeedback (NF) loop. Here we describe multimodal dataset acquired simultaneously during motor imagery NF task, supplemented with MRI structural data. The study involved 30 healthy volunteers undergoing five training sessions. We showed the potential merit simultaneous EEG-fMRI previous work. illustrate...

10.1038/s41597-020-0498-3 article EN cc-by Scientific Data 2020-06-10
Rémi Gau Stephanie Noble Katja Heuer Katherine L. Bottenhorn Isil Poyraz Bilgin and 95 more Yufang Yang Julia M. Huntenburg Johanna Bayer Richard A. I. Bethlehem Shawn A. Rhoads Christoph Vogelbacher Valentina Borghesani Elizabeth Levitis Hao-Ting Wang Sofie Van Den Bossche Xenia Kobeleva Jon Haitz Legarreta Samuel Guay Melvin Selim Atay Gael P. Varoquaux Dorien Huijser Malin Sandström Peer Herholz Samuel A. Nastase AmanPreet Badhwar Guillaume Dumas Simon Schwab Stefano Moia Michael Dayan Yasmine Bassil Paula P. Brooks Matteo Mancini James M. Shine David O’Connor Xihe Xie Davide Poggiali Patrick Friedrich Anibal Sólon Heinsfeld Lydia Riedl Roberto Toro César Caballero‐Gaudes Anders Eklund Kelly Garner Christopher Nolan Damion V. Demeter Fernando A. Barrios Junaid S. Merchant Elizabeth A. McDevitt Robert Oostenveld R. Cameron Craddock Ariel Rokem Andrew Doyle Satrajit Ghosh Aki Nikolaidis Olivia W. Stanley Eneko Uruñuela Nasim Anousheh Aurina Arnatkevičiūtė Guillaume Auzias Dipankar Bachar Élise Bannier Ruggero Basanisi Arshitha Basavaraj Marco Bedini Pierre Bellec R. Austin Benn Kathryn Berluti Steffen Bollmann Saskia Bollmann Claire Bradley Jesse A. Brown Augusto Buchweitz Patrick Callahan Micaela Y. Chan Bramsh Q. Chandio Theresa W Cheng Sidhant Chopra Ai Wern Chung Thomas G. Close Etienne Combrisson Giorgia Cona R. Todd Constable Claire Cury Kamalaker Dadi Pablo F. Damasceno Samir Das Fabrizio De Vico Fallani Krista DeStasio Erin W. Dickie Lena Dorfschmidt Eugene Duff Elizabeth DuPré Sarah L. Dziura Nathália Bianchini Esper Oscar Estéban Shreyas Fadnavis Guillaume Flandin Jessica Flannery John C. Flournoy Stephanie J. Forkel

10.1016/j.neuron.2021.04.001 article EN publisher-specific-oa Neuron 2021-04-30

Cognitive problems, especially disturbances in episodic memory, and hippocampal sclerosis are common temporal lobe epilepsy (TLE), but little is known about the relationship of morphology with memory. We aimed to relate surface-shape patterns verbal visual learning.We analyzed surface shapes on high-resolution magnetic resonance images Adult Memory Information Processing Battery 145 unilateral refractory TLE patients undergoing surgery, a validation set 55 patients, 39 age- sex-matched...

10.1002/ana.25762 article EN cc-by Annals of Neurology 2020-05-07

Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context neurofeedback (NF) mechanisms for rehabilitation protocols. While NF-EEG (in which real-time scores computed from EEG signals) has been explored a very long time, NF-fMRI fMRI appeared more recently and provides robust results specific training. Using simultaneously bi-modal sessions (NF-EEG-fMRI, EEG) is promising...

10.3389/fnins.2019.01451 article EN cc-by Frontiers in Neuroscience 2020-01-31

Abstract Auditory hallucinations (AHs) are certainly the most emblematic experiences in schizophrenia, but visual (VHs) also commonly observed this developmental psychiatric disorder. Notably, several studies have suggested a possible relationship between clinical variability hallucinations′ phenomenology and differences brain development/maturation. In impairments of hippocampus, medial temporal structure involved mnesic neuroplastic processes, been repeatedly associated with...

10.1038/s41398-020-0779-9 article EN cc-by Translational Psychiatry 2020-03-25

Incomplete hippocampal inversion (IHI), also called malrotation, is a frequent atypical anatomical pattern of the hippocampus. Because crucial implication hippocampus in Major Depressive Disorder (MDD) and neurodevelopmental hypothesis MDD, we aimed to assess prevalence IHI patients with link volume (HV) impact on predictive value HV for response remission after antidepressant treatment. (right left, partial total scores) were assessed 60 current Episode (MDE) context MDD matched controls....

10.1016/j.nicl.2016.04.009 article EN cc-by NeuroImage Clinical 2016-02-01

Brain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such frontotemporal dementia or Alzheimer's disease, can be observed in key brain structures years before any clinical symptoms are present. Atrophy most commonly captured volume change and shape changes these typically not analysed despite being potentially more sensitive than summary statistics over entire structure. this paper we...

10.1016/j.neuroimage.2018.11.063 article EN cc-by NeuroImage 2018-12-06

ABSTRACT Neurofeedback (NF) allows to exert self-regulation over specific aspects of one’s own brain activity by returning information extracted in real-time from measures. These measures are usually acquired a single modality, most commonly electroencephalography (EEG) or functional magnetic resonance imaging (fMRI). EEG-fMRI-neurofeedback (EEG-fMRI-NF) is new approach that consists providing NF based simultaneously on EEG and fMRI signals. By exploiting the complementarity these two...

10.1101/397729 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2018-08-22

Incomplete hippocampal inversion (IHI), also called malrotation, is an atypical presentation of the hippocampus present in about 20% healthy individuals. Here we conducted first genome-wide association study (GWAS) IHI to elucidate genetic underpinnings that may contribute incomplete during brain development. A total 1381 subjects contributed discovery cohort obtained from IMAGEN database. The incidence rate was 26.1%. Loci with P<1e-5 were followed up a validation comprising 161 PING study....

10.1371/journal.pone.0227355 article EN cc-by PLoS ONE 2020-01-28

Abstract Combining EEG and fMRI allows for integration of fine spatial accurate temporal resolution yet presents numerous challenges, noticeably if performed in real-time to implement a Neurofeedback (NF) loop. Here we describe multimodal dataset acquired simultaneously during motor imagery NF task, supplemented with MRI structural data. The study involved 30 healthy volunteers undergoing five training sessions. We showed the potential merit simultaneous EEG-fMRI previous work. illustrate...

10.1101/862375 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-12-05

This article presents a new approach for template-based analysis of anatomical variability in populations, the framework Large Deformation Diffeomorphic Metric Mappings and mathematical currents. We propose fast which template is computed using diffeomorphic iterative centroid method. Statistical then performed on initial momenta that define deformations between each individual subject. applied to study hippocampus 134 patients with Alzheimer's disease (AD) 160 elderly control subjects. show...

10.1080/21681163.2015.1035403 article EN Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization 2015-05-12

In this paper, we propose an approach for template-based shape analysis of large datasets, using diffeomorphic centroids as atlas shapes. Diffeomorphic centroid methods fit in the Large Deformation Metric Mapping (LDDMM) framework and use kernel metrics on currents to quantify surface dissimilarities. The statistical is based a Kernel Principal Component Analysis (Kernel PCA) performed set initial momentum vectors which parametrize deformations. We tested different datasets hippocampal...

10.3389/fnins.2018.00803 article EN cc-by Frontiers in Neuroscience 2018-11-12
Rémi Gau Stephanie Noble Katja Heuer Katherine L. Bottenhorn Isil Poyraz Bilgin and 95 more Yufang Yang Julia M. Huntenburg Johanna Bayer Richard A. I. Bethlehem Shawn A. Rhoads Christoph Vogelbacher Valentina Borghesani Elizabeth Levitis Hao-Ting Wang Sofie Van Den Bossche Xenia Kobeleva Jon Haitz Legarreta Gorroño Samuel Guay Melvin Selim Atay Gael P. Varoquaux Dorien Huijser Malin Sandström Peer Herholz Samuel A. Nastase AmanPreet Badhwar Guillaume Dumas Simon Schwab Stefano Moia Michael Dayan Yasmine Bassil Paula P. Brooks Matteo Mancini James M. Shine David O’Connor Xihe Xie Davide Poggiali Anibal Sólon Heinsfeld Patrick Friedrich Lydia Riedl Roberto Toro César Caballero‐Gaudes Anders Eklund Kelly Garner Christopher Nolan Damion V. Demeter Fernando A. Barrios Junaid S. Merchant Elizabeth A. McDevitt Robert Oostenveld R. Cameron Craddock Ariel Rokem Andrew Doyle Nathália Bianchini Esper Satrajit Ghosh Georg Langs Aki Nikolaidis Olivia Stanley Eneko Uruñuela Brainhack community nasim anousheh Guillaume Auzias Aurina Arnatkevičiūtė Dipankar Bachar Élise Bannier Ruggero Basanisi Arshitha Basavaraj Marco Bedini Pierre Bellec Austin R. Benn Kathryn Berluti Saskia Bollmann Steffen Bollmann Claire Bradley Jesse A. Brown Augusto Buchweitz Patrick Callahan Micaela Y. Chan Bramsh Q. Chandio Theresa W Cheng Sidhant Chopra Ai Wern Chung Thomas G. Close Etienne Combrisson Giorgia Cona Robert T. Constable Claire Cury KamalakerDadi Samir Das Pablo F. Damasceno Fabrizio De Vico Fallani Krista Leigh DeStasio Erin W. Dickie Lena Dorfschmidt Eugene Duff Elizabeth DuPré Sarah L. Dziura Oscar Estéban Shreyas Fadnavis Guillaume Flandin Jessica Flannery

Brainhack is an innovative meeting format that promotes scientific collaboration and education in open inclusive environment. Departing from the formats of typical workshops, these events are based on grassroots projects training, foster reproducible practices. We describe here multifaceted, lasting benefits Brainhacks for individual participants, particularly early career researchers. further highlight unique contributions can make to research community, contributing progress by...

10.31234/osf.io/rytjq preprint EN 2021-02-12

The incomplete hippocampal inversion (IHI) is an atypical anatomical pattern of the hippocampus. However, hippocampus not a homogeneous structure, as it consists segregated subfields with specific characteristics. While IHI related to whole volume, higher scores have been associated smaller CA1 in aging. Although segmentation challenging due their small size, there are algorithms allowing automatic segmentation. By using Human Connectome Project dataset healthy young adults, we first tested...

10.1109/isbi53787.2023.10230555 article EN 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2023-04-18

Abstract Developmental topographical disorientation (DTD) refers to the lifelong inability orient by means of cognitive maps in familiar surroundings despite otherwise well‐preserved general functions, and absence any acquired brain injury or neurological condition. While reduced functional connectivity between hippocampus other regions has been reported DTD individuals, no structural differences gray matter tissue for whole neither were detected. Considering that human is main structure...

10.1002/hipo.23599 article EN Hippocampus 2024-01-12

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% general population. IHI can be visually assessed on coronal slices T1 weighted MR images, using a composite score that combines four criteria. has been associated with several brain disorders (epilepsy, schizophrenia). However, these studies were based small samples. Furthermore, factors (genetic or environmental) contribute to genesis are...

10.59275/j.melba.2024-3d4e preprint EN The Journal of Machine Learning for Biomedical Imaging 2024-07-30
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