Keywords: Aging, Aging, Brain network
Motivation: The interaction between aging and neurological diseases at the brain network level remains unclear.
Goal(s): This study aim to elucidated network mechanisms underlying the complex interactions between aging and neurological diseases.
Approach: First, individual morphological connectivity networks (MCNs) were constructed for HC group . The aging-related subnetworks were identified and spatially correlated with disease-related MCN disruptions.Further, regression coefficients of the aging-related subnetworks were calculated for each patient and correlated with clinical variables. Finally, biological maps from the neuromaps toolbox were utilized to interpret the aging-related subnetworks biologically.
Results: The results highlighted that normal aging interacts with various neurological diseases both transdiagnostically and diagnosis-specifically.
Impact: This understanding may provide new insights for improving clinical disease management by evaluating aging effects.
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