Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project.

Abstract:

:Metastability is currently considered a fundamental property of the functional configuration of brain networks. The present study sought to generate a normative reference framework for the metastability of the major resting-state networks (RSNs) (resting-state metastability dataset) and discover their association with demographic, behavioral, physical and cognitive features (non-imaging dataset) from 818 participants of the Human Connectome Project. Using sparse canonical correlation analysis, we found that the metastability and non-imaging datasets showed significant but modest interdependency. Notable associations between the metastability variate and the non-imaging features were observed for higher-order cognitive ability and indicators of physical well-being. The intra-class correlation coefficient between the sibling pairs in the sample was very low which argues against a significant familial influence on RSN metastability.

journal_name

Brain Topogr

journal_title

Brain topography

authors

Lee WH,Moser DA,Ing A,Doucet GE,Frangou S

doi

10.1007/s10548-018-0672-5

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

80-86

issue

1

eissn

0896-0267

issn

1573-6792

pii

10.1007/s10548-018-0672-5

journal_volume

32

pub_type

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