Subject-specific segregation of functional territories based on deep phenotyping.
atlases
brain imaging
cognitive function
data set
functional magnetic resonance imaging
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
09
03
2020
revised:
11
07
2020
accepted:
04
08
2020
pubmed:
29
12
2020
medline:
4
1
2022
entrez:
28
12
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33368868
doi: 10.1002/hbm.25189
pmc: PMC7856658
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
841-870Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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