Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping

The Individual Brain Charting project focuses on collecting functional Magnetic Resonance Imaging data across a large set of cognitive tasks from a fixed cohort of participants, within a standardized environment. This approach seeks to obtain refined cognitive phenotyping of individual brains, uncovering details of their functional organization. We present an extension to the dataset, integrating data from eleven participants obtained at 3T, from a fixed environment to minimize inter-site and inter-subject variability. This release further enriches the cumulative coverage of psychological domains, while introducing new concepts. It includes tasks on mathematical processing, spatial navigation, emotion recognition and memory, proactive control, oddball detection, reward processing, reaction time, biological motion perception, gambling, scene processing and working memory. In total, 18 tasks with 180 contrasts were added, and 54 cognitive components were included in the description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to enhanced brain-atlasing frameworks. Aligned with open-access and data-sharing standards, this dataset emphasizes transparency and collaborative research.

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Publication Details

Journal
Scientific Data
Published
2026-03-05
DOI
https://doi.org/10.1038/s41597-026-06869-1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping

Gaëlle Médiouni-Cloarec, John P. O’Doherty, Y. Lecomte, M. A. Shafto et al.
Scientific Data
Functional Brain Connectivity Studies
article

Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping

Gaëlle Médiouni-Cloarec, John P. O’Doherty, Y. Lecomte, M. A. Shafto, Christine Doublé, Danielle Douglas, Marie Amalric, Nikolaus F. Troje, V. Berland, Nadine Diersch, Bernadette Martins, Thomas Wolbers, Vincent Man, Chantal Ginisty, David B. Keator, Bertrand Thirion, Ana Luisa Pinho, Swetha Shankar, Ana Fernanda Ponce, Raymond Dolan, Duncan Edward Astle, Lucie Hertz-Pannier, Andy C. H. Lee, Russell A. Poldrack, Alexis Thual, Himanshu Aggarwal, Kalanit Grill-Spector, Anthony Stigliani, Véronique Joly-Testault, Lucile Beriot, Stanislas Dehaene, Bo-Cheng Kuo
article en

Abstract

The Individual Brain Charting project focuses on collecting functional Magnetic Resonance Imaging data across a large set of cognitive tasks from a fixed cohort of participants, within a standardized environment. This approach seeks to obtain refined cognitive phenotyping of individual brains, uncovering details of their functional organization. We present an extension to the dataset, integrating data from eleven participants obtained at 3T, from a fixed environment to minimize inter-site and inter-subject variability. This release further enriches the cumulative coverage of psychological domains, while introducing new concepts. It includes tasks on mathematical processing, spatial navigation, emotion recognition and memory, proactive control, oddball detection, reward processing, reaction time, biological motion perception, gambling, scene processing and working memory. In total, 18 tasks with 180 contrasts were added, and 54 cognitive components were included in the description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to enhanced brain-atlasing frameworks. Aligned with open-access and data-sharing standards, this dataset emphasizes transparency and collaborative research.

Scientific Data
California Institute of Technology (US), Western University (CA), Inserm (FR), Wellcome Centre for Human Neuroimaging (GB), National Taiwan University (TW), Neurosciences Institute (US), Collège de France (FR), York University (CA), MRC Cognition and Brain Sciences Unit (GB), University of California, Irvine (US), University of Cambridge (GB), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Scarborough Health Network (CA), German Center for Neurodegenerative Diseases (DE), MIND Research Institute (US), Centre Inria de Saclay (FR), CEA Paris-Saclay (FR), Cognitive Neuroimaging Lab (FR), University College London (GB), University of Hong Kong (HK), Stanford University (US)
University of Rochester, University College London, Institut National de la Santé et de la Recherche Médicale, University of Toronto, Tel Aviv University, Deutsches Zentrum für Neurodegenerative Erkrankungen, Université Paris-Saclay
Openalex Percentile: Top 37%
Functional Brain Connectivity Studies
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