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Neuron. 2018 Apr 18;98(2):439-452.e5. doi: 10.1016/j.neuron.2018.03.035.

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

Author information

1
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA. Electronic address: cgratton@wustl.edu.
2
Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA.
3
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA.
4
Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA.
5
VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA.
6
Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA.
7
VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA; Department of Psychiatry, Texas A&M Health Science Center, Temple, TX 76508, USA.
8
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA.
9
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA.
10
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA; Program in Occupational Therapy, Washington University in St. Louis, St. Louis, MO 63110, USA.
11
Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA.

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.

KEYWORDS:

brain networks; fMRI; functional connectivity; individual differences

PMID:
29673485
PMCID:
PMC5912345
[Available on 2019-04-18]
DOI:
10.1016/j.neuron.2018.03.035

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