Time-varying whole-brain functional network connectivity coupled to task engagement.
Brainwide integration
Cognitive dynamics
Cognitive marker
Task-evoked connectivity dynamics
Whole-brain connectivity pattern
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
2019
2019
Historique:
received:
18
10
2017
accepted:
16
03
2018
entrez:
23
2
2019
pubmed:
23
2
2019
medline:
23
2
2019
Statut:
epublish
Résumé
Brain functional connectivity (FC), as measured by blood oxygenation level-dependent (BOLD) signal, fluctuates at the scale of 10s of seconds. It has recently been found that whole-brain dynamic FC (dFC) patterns contain sufficient information to permit identification of ongoing tasks. Here, we hypothesize that dFC patterns carry fine-grained information that allows for tracking short-term task engagement levels (i.e., 10s of seconds long). To test this hypothesis, 25 subjects were scanned continuously for 25 min while they performed and transitioned between four different tasks: working memory, visual attention, math, and rest. First, we estimated dFC patterns by using a sliding window approach. Next, we extracted two engagement-specific FC patterns representing active engagement and passive engagement by using
Identifiants
pubmed: 30793073
doi: 10.1162/netn_a_00051
pii: netn_a_00051
pmc: PMC6326730
doi:
Types de publication
Journal Article
Langues
eng
Pagination
49-66Subventions
Organisme : Intramural NIH HHS
ID : ZIA MH002783
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB006841
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB020407
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103472
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH118695
Pays : United States
Déclaration de conflit d'intérêts
Competing Interests: The authors have declared that no competing interests exist.
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