Performing group-level functional image analyses based on homologous functional regions mapped in individuals.
Journal
PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755
Informations de publication
Date de publication:
03 2019
03 2019
Historique:
received:
13
06
2018
accepted:
05
03
2019
revised:
04
04
2019
pubmed:
26
3
2019
medline:
26
11
2019
entrez:
26
3
2019
Statut:
epublish
Résumé
Functional MRI (fMRI) studies have traditionally relied on intersubject normalization based on global brain morphology, which cannot establish proper functional correspondence between subjects due to substantial intersubject variability in functional organization. Here, we reliably identified a set of discrete, homologous functional regions in individuals to improve intersubject alignment of fMRI data. These functional regions demonstrated marked intersubject variability in size, position, and connectivity. We found that previously reported intersubject variability in functional connectivity maps could be partially explained by variability in size and position of the functional regions. Importantly, individual differences in network topography are associated with individual differences in task-evoked activations, suggesting that these individually specified regions may serve as the "localizer" to improve the alignment of task-fMRI data. We demonstrated that aligning task-fMRI data using the regions derived from resting state fMRI may lead to increased statistical power of task-fMRI analyses. In addition, resting state functional connectivity among these homologous regions is able to capture the idiosyncrasies of subjects and better predict fluid intelligence (gF) than connectivity measures derived from group-level brain atlases. Critically, we showed that not only the connectivity but also the size and position of functional regions are related to human behavior. Collectively, these findings suggest that identifying homologous functional regions across individuals can benefit a wide range of studies in the investigation of connectivity, task activation, and brain-behavior associations.
Identifiants
pubmed: 30908490
doi: 10.1371/journal.pbio.2007032
pii: pbio.2007032
pmc: PMC6448916
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2007032Subventions
Organisme : NIMH NIH HHS
ID : K01 MH111802
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS091604
Pays : United States
Organisme : NIMH NIH HHS
ID : P50 MH106435
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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