High-resolution brain data set expanded with 11 participants

Research area:NeuroscienceCognitive NeuroscienceFunctional magnetic resonance imaging

What the study found

The study reports a new release of the Individual Brain Charting dataset that adds high-resolution functional Magnetic Resonance Imaging (fMRI) data from eleven participants. It expands coverage of cognitive tasks and includes additional cognitive components for brain mapping.

Why the authors say this matters

The authors conclude that as the dataset grows, the collection of brain activity patterns becomes more complete, which supports enhanced brain-atlasing frameworks. They also state that the release follows open-access and data-sharing standards and emphasizes transparency and collaborative research.

What the researchers tested

The researchers extended an existing dataset by collecting fMRI data in a fixed environment at 3T, which is a type of MRI scanner with a 3-tesla magnetic field. The dataset includes tasks spanning several psychological domains, including mathematical processing, spatial navigation, emotion recognition, memory, proactive control, oddball detection, reward processing, reaction time, biological motion perception, gambling, scene processing, and working memory.

What worked and what didn't

The release added 18 tasks and 180 contrasts, and it included 54 cognitive components in the description of the resulting contrasts. The abstract says this further enriches the dataset and makes the corresponding topographies more comprehensive, but it does not report any failures, comparative performance results, or negative findings.

What to keep in mind

The summary provides dataset details but does not describe analyses of accuracy, validity, or downstream scientific outcomes. Limitations are not described in the available abstract.

Key points

The dataset release adds high-resolution fMRI data from eleven participants.
The new version includes 18 tasks and 180 contrasts.
Fifty-four cognitive components were added to the description of the contrasts.
The authors say the larger dataset makes brain topographies more comprehensive.
The release is presented as aligned with open-access and data-sharing standards.

Disclosure

Research title:: High-resolution brain data set expanded with 11 participants
Authors:: Ana Fernanda Ponce, Himanshu Aggarwal, Swetha Shankar, Juan Jesús Torre, Ana Lúısa Pinho, Alexis Thual, Chantal Ginisty, Y. Lecomte, V. 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, M. A. Shafto, John P. O’Doherty, Vincent Man, Raymond 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
Institutions:: California Institute of Technology, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, CEA Paris-Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Centre Inria de Saclay, Cognitive Neuroimaging Lab, Cognitive Neuroimaging Lab, Collège de France, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, German Center for Neurodegenerative Diseases, German Center for Neurodegenerative Diseases, Inserm, Inserm, MIND Research Institute, MRC Cognition and Brain Sciences Unit, MRC Cognition and Brain Sciences Unit, National Taiwan University, Neurosciences Institute, Stanford University, Stanford University, Stanford University, The Scarborough Hospital, The Scarborough Hospital, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, Université Paris-Saclay, University College London, University of California, Irvine, University of California, Irvine, University of Cambridge, University of Hong Kong, Wellcome Centre for Human Neuroimaging, Western University, York University
Publication date:: 2026-03-05
DOI:: 10.1038/s41597-026-06869-1
OpenAlex record:: View

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