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 language | English (US) |
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Pages (from-to) | 80-86 |
Number of pages | 7 |
Journal | Brain Topography |
Volume | 32 |
Issue number | 1 |
DOIs | |
State | Published - Jan 30 2019 |
Externally published | Yes |
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