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:

View ID Name Type
Field Value
Compact Identifier
Add DateAug. 30, 2019, 5:24 a.m.
Uploaded bybbmm0208
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
Citation guidelines

If you use the data from this collection please include the following persistent identifier in the text of your manuscript:

This will help to track the use of this data in the literature. In addition, consider also citing the paper related to this collection.