Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker

Description: Forty structural covariance networks (SCNs) were defined based on gray matter volume covariance patterns using independent component analysis with T1-weighted structural MRI scans (800 healthy participants in middle-to-late adulthood).

Related article: http://doi.org/10.1093/cercor/bhaa161

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Compact Identifierhttps://identifiers.org/neurovault.collection:5848
Add DateAug. 30, 2019, 5:24 a.m.
Uploaded bybbmm0208
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Related article DOI10.1093/cercor/bhaa161
Related article authorsChen-Yuan Kuo, Pei-Lin Lee, Sheng-Che Hung, Li-Kuo Liu, Wei-Ju Lee, Chih-Ping Chung, Albert C Yang, Shih-Jen Tsai, Pei-Ning Wang, Liang-Kung Chen, Kun-Hsien Chou and Ching-Po Lin
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