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Article Dans Une Revue Scientific Data Année : 2018

Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping

Alexis Amadon
Philippe Pinel
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Evelyn Eger
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Lucie Hertz-Pannier
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Résumé

Functional Magnetic Resonance Imaging (fMRI) has furthered brain mapping on perceptual, motor, as well as higher-level cognitive functions. However, to date, no data collection has systematically addressed the functional mapping of cognitive mechanisms at a ne spatial scale. The Individual Brain Charting (IBC) project stands for a high-resolution multi-task fMRI dataset that intends to provide the objective basis toward a comprehensive functional atlas of the human brain. The data refer to a cohort of 12 participants performing many dierent tasks. The large amount of task-fMRI data on the same subjects yields a precise mapping of the underlying functions, free from both inter-subject and inter-site variability. The present article gives a detailed description of the rst release of the IBC dataset. It comprises a dozen of tasks, addressing both low- and high- level cognitive functions. This openly available dataset is thus intended to become a reference for cognitive brain mapping.
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Dates et versions

hal-01817528 , version 1 (18-06-2018)

Identifiants

Citer

Ana Luísa Pinho, Alexis Amadon, Torsten Ruest, Murielle Fabre, Elvis Dohmatob, et al.. Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping. Scientific Data , 2018, 5, pp.180105. ⟨10.1038/sdata.2018.105⟩. ⟨hal-01817528⟩
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