Open AccessSubject‐specific segregation of functional territories based on deep phenotyping
Author(s) -
Pinho Ana Luísa,
Amadon Alexis,
Fabre Murielle,
Dohmatob Elvis,
Denghien Isabelle,
Torre Juan Jesús,
Ginisty Chantal,
BecuweDesmidt Séverine,
Roger Séverine,
Laurier Laurence,
JolyTestault Véronique,
MédiouniCloarec Gaëlle,
Doublé Christine,
Martins Bernadette,
Pinel Philippe,
Eger Evelyn,
Varoquaux Gaël,
Pallier Christophe,
Dehaene Stanislas,
HertzPannier Lucie,
Thirion Bertrand
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25189
Subject(s) - functional magnetic resonance imaging , contrast (vision) , leverage (statistics) , task (project management) , computer science , functional connectivity , brain mapping , relevance (law) , cognition , representation (politics) , artificial intelligence , psychology , default mode network , cognitive psychology , cartography , neuroscience , geography , management , politics , political science , law , economics
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.