Correspondence between functional connectivity and task-related activity patterns within the individual

Joseph J. Salvo, Ania M. Holubecki, Rodrigo M. Braga

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Functional connectivity is able to define brain networks that show intrinsic (i.e. task-independent) coordinated activity. Group-averaged network estimates correspond broadly to task-driven activity patterns. Recently, methods have been developed that allow precise network estimation within individuals. Here, we review recent observations which show that networks estimated within individuals can display a complex topology of regions that nonetheless shows close correspondence with task-driven activity patterns. The relationship holds across multiple networks and cognitive domains, and is evident in individuals that display atypical organization. The evidence hence supports that intrinsic fluctuations of brain activity are coordinated between functionally related sets of regions. We also highlight trends that emerge with increasing spatial resolution and discuss limitations of within-individual network estimation.

Original languageEnglish (US)
Pages (from-to)178-188
Number of pages11
JournalCurrent Opinion in Behavioral Sciences
Volume40
DOIs
StatePublished - Aug 2021

Funding

This work was supported by a National Institute of Mental Health grant R00MH117226 , and the Ken & Ruth Davee Department of Neurology at Northwestern University . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work was supported by a National Institute of Mental Health grant R00MH117226, and the Ken & Ruth Davee Department of Neurology at Northwestern University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Psychiatry and Mental health
  • Behavioral Neuroscience

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