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Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

From Complex Time
Category
General Reference
author-supplied keywords
keywords
authors
Caterina Gratton
Timothy O. Laumann
Ashley N. Nielsen
Deanna J. Greene
Evan M. Gordon
Adrian W. Gilmore
Steven M. Nelson
Rebecca S. Coalson
Abraham Z. Snyder
Bradley L. Schlaggar
Nico U.F. Dosenbach
Steven E. Petersen
title
Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation
type
journal
year
2018
source
Neuron
pages
439-452.e5
volume
98
issue
2
publisher
Cell Press

Abstract

The organization of human brain networks can be measured by capturing correlated brain activity with fMRI. There is considerable interest in understanding how brain networks vary across individuals or neuropsychiatric populations or are altered during the performance of specific behaviors. However, the plausibility and validity of such measurements is dependent on the extent to which functional networks are stable over time or are state dependent. We analyzed data from nine high-quality, highly sampled individuals to parse the magnitude and anatomical distribution of network variability across subjects, sessions, and tasks. Critically, we find that functional networks are dominated by common organizational principles and stable individual features, with substantially more modest contributions from task-state and day-to-day variability. Sources of variation were differentially distributed across the brain and differentially linked to intrinsic and task-evoked sources. We conclude that functional networks are suited to measuring stable individual characteristics, suggesting utility in personalized medicine. Gratton et al. comprehensively measure individual, day-to-day, and task variance in functional brain networks, revealing that networks are dominated by stable individual factors, not cognitive content. These findings suggest utility of functional network measurements in personalized medicine.

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Identifiers

  • doi: 10.1016/j.neuron.2018.03.035 (Google search)
  • issn: 10974199
  • sgr: 85045098651
  • scopus: 2-s2.0-85045098651
  • pui: 2000636297

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