Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping
Journal
Scientific Data
Journal Volume
13
Journal Issue
1
ISSN
2052-4463
Date Issued
2026-03-05
Author(s)
Ponce, Ana Fernanda
Aggarwal, Himanshu
Shankar, Swetha
Torre, Juan Jesús
Pinho, Ana Luísa
Thual, Alexis
Ginisty, Chantal
Lecomte, Yann
Berland, Valérie
Beriot, Lucile
Laurier, Laurence
Joly-Testault, Véronique
Médiouni-Cloarec, Gaëlle
Hertz-Pannier, Lucie
Doublé, Christine
Martins, Bernadette
Amalric, Marie
Dehaene, Stanislas
Diersch, Nadine
Wolbers, Thomas
Shafto, Meredith A.
O’Doherty, John P.
Man, Vincent
Dolan, Raymond J.
Poldrack, Russell A.
Stigliani, Anthony
Grill-Spector, Kalanit
Douglas, Danielle
Lee, Andy C. H.
Keator, David B.
Potkin, Steven G.
Chang, Dorita H. F.
Troje, Nikolaus F.
Astle, Duncan E.
Thirion, Bertrand
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.
Subjects
Brain
Brain Mapping
Cognition
Humans
Magnetic Resonance Imaging
brain
brain mapping
cognition
diagnostic imaging
human
nuclear magnetic resonance imaging
physiology
Publisher
Springer Science and Business Media LLC
Type
data paper