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 Topogrjournal_title
Brain topographyauthors
Lee WH,Moser DA,Ing A,Doucet GE,Frangou Sdoi
10.1007/s10548-018-0672-5subject
Has Abstractpub_date
2019-01-01 00:00:00pages
80-86issue
1eissn
0896-0267issn
1573-6792pii
10.1007/s10548-018-0672-5journal_volume
32pub_type
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