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Pinho AL, Amadon A, Fabre M, Dohmatob E, Denghien I, Torre JJ, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B. Subject-specific segregation of functional territories based on deep phenotyping. Hum Brain Mapp 2020; 42:841-870. [PMID: 33368868 PMCID: PMC7856658 DOI: 10.1002/hbm.25189] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 07/11/2020] [Accepted: 08/04/2020] [Indexed: 11/08/2022] Open
Abstract
Functional magnetic resonance imaging (fMRI) has opened the possibility to investigate how brain activity is modulated by behavior. Most studies so far are bound to one single task, in which functional responses to a handful of contrasts are analyzed and reported as a group average brain map. Contrariwise, recent data-collection efforts have started to target a systematic spatial representation of multiple mental functions. In this paper, we leverage the Individual Brain Charting (IBC) dataset-a high-resolution task-fMRI dataset acquired in a fixed environment-in order to study the feasibility of individual mapping. First, we verify that the IBC brain maps reproduce those obtained from previous, large-scale datasets using the same tasks. Second, we confirm that the elementary spatial components, inferred across all tasks, are consistently mapped within and, to a lesser extent, across participants. Third, we demonstrate the relevance of the topographic information of the individual contrast maps, showing that contrasts from one task can be predicted by contrasts from other tasks. At last, we showcase the benefit of contrast accumulation for the fine functional characterization of brain regions within a prespecified network. To this end, we analyze the cognitive profile of functional territories pertaining to the language network and prove that these profiles generalize across participants.
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Affiliation(s)
| | - Alexis Amadon
- Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France
| | - Murielle Fabre
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France
| | - Elvis Dohmatob
- Université Paris-Saclay, Inria, CEA, Palaiseau, France.,Criteo AI Lab, Paris, France
| | - Isabelle Denghien
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France
| | | | | | | | | | | | | | | | | | | | - Philippe Pinel
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France
| | - Evelyn Eger
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France
| | | | - Christophe Pallier
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France
| | - Stanislas Dehaene
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, 91191, France.,Collège de France, Paris, France
| | - Lucie Hertz-Pannier
- CEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.,UMR 1141, NeuroDiderot, Université de Paris, Paris, France
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Pinho AL, Amadon A, Ruest T, Fabre M, Dohmatob E, Denghien I, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B. Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping. Sci Data 2018; 5:180105. [PMID: 29893753 PMCID: PMC5996851 DOI: 10.1038/sdata.2018.105] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 02/23/2018] [Indexed: 01/11/2023] Open
Abstract
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 fine 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 different 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 first 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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Affiliation(s)
- Ana Luísa Pinho
- Parietal Team, Inria, Saclay, France
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
| | | | - Torsten Ruest
- Parietal Team, Inria, Saclay, France
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
| | - Murielle Fabre
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
- Cognitive Neuroimaging Unit, Saclay, France
- INSERM, Paris, France
- Paris-Sud University, Paris, France
| | - Elvis Dohmatob
- Parietal Team, Inria, Saclay, France
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
| | - Isabelle Denghien
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
- Cognitive Neuroimaging Unit, Saclay, France
- INSERM, Paris, France
- Paris-Sud University, Paris, France
| | | | | | - Séverine Roger
- Neurospin, CEA, Saclay, France
- UNIACT-U1129, Paris, France
| | | | | | | | | | | | | | - Evelyn Eger
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
- Cognitive Neuroimaging Unit, Saclay, France
- INSERM, Paris, France
- Paris-Sud University, Paris, France
| | - Gaël Varoquaux
- Parietal Team, Inria, Saclay, France
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
| | - Christophe Pallier
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
- Cognitive Neuroimaging Unit, Saclay, France
- INSERM, Paris, France
- Paris-Sud University, Paris, France
| | - Stanislas Dehaene
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
- Cognitive Neuroimaging Unit, Saclay, France
- INSERM, Paris, France
- Paris-Sud University, Paris, France
- Collège de France, Paris, France
| | - Lucie Hertz-Pannier
- Neurospin, CEA, Saclay, France
- INSERM, Paris, France
- UNIACT-U1129, Paris, France
- Paris Descartes University, Paris, France
| | - Bertrand Thirion
- Parietal Team, Inria, Saclay, France
- Neurospin, CEA, Saclay, France
- Paris-Saclay University, Paris, France
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