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Enhanced prediction of cognitive function using aging-sensitive networks within the human structural connectome
[article]
2019
bioRxiv
pre-print
Using raw structural and diffusion brain MRI data from the UK Biobank (UKB; N = 3,155, ages 45-75 years) and the Lothian Birth Cohort 1936 (LBC1936; N = 534, all age 73 years), we examine aging of regional grey matter volumes (nodes) and white matter structural connectivity (edges) within networks-of-interest in the human brain connectome. In UKB, the magnitude of age-differences in individual node volumes and edge weights corresponds closely with their loadings on their respective principal
doi:10.1101/2019.12.13.875559
fatcat:a3pykowwkraulovulazlxemxye