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

Won Hee Lee, Dominik Andreas Moser, Alex Ing, Gaelle Eve Doucet, Sophia Frangou

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)80-86
Number of pages7
JournalBrain Topography
Volume32
Issue number1
DOIs
StatePublished - Jan 30 2019
Externally publishedYes

Keywords

  • Body mass index
  • Canonical correlation analysis
  • Human Connectome Project
  • Metastability
  • Resting-state fMRI

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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