Title |
Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project
|
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Published in |
Brain Topography, August 2018
|
DOI | 10.1007/s10548-018-0672-5 |
Pubmed ID | |
Authors |
Won Hee Lee, Dominik Andreas Moser, Alex Ing, Gaelle Eve Doucet, Sophia Frangou |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 33% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 15% |
Researcher | 3 | 9% |
Student > Master | 3 | 9% |
Lecturer | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 8 | 24% |
Unknown | 10 | 30% |
Readers by discipline | Count | As % |
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Neuroscience | 7 | 21% |
Psychology | 5 | 15% |
Business, Management and Accounting | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Computer Science | 1 | 3% |
Other | 4 | 12% |
Unknown | 13 | 39% |