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

Scientific data
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Ana Fernanda Ponce, Himanshu Aggarwal, Swetha Shankar, Juan Jesús Torre, Ana Luísa Pinho, Alexis Thual, Chantal Ginisty, Yann Lecomte, Valérie Berland, Lucile Beriot, Laurence Laurier, Véronique Joly-Testault, Gaëlle Médiouni-Cloarec, Lucie Hertz-Pannier, Christine Doublé, Bernadette Martins, Marie Amalric, Stanislas Dehaene, Nadine Diersch, Thomas Wolbers, Meredith A Shafto, John P O'Doherty, Vincent Man, Raymond J Dolan, Russell A Poldrack, Anthony Stigliani, Kalanit Grill-Spector, Danielle Douglas, Andy C H Lee, David B Keator, Steven G Potkin, Dorita H F Chang, Nikolaus F Troje, Bo-Cheng Kuo, Duncan E Astle, Bertrand Thirion

Sci Data. 2026 Mar 5. doi: 10.1038/s41597-026-06869-1. Online ahead of print.

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.

PMID:41781395 | DOI:10.1038/s41597-026-06869-1