Answers are grounded in this paper and cite their sources.
Observational analysis highlights aging's transdiagnostic impact on neurological diseases, suggesting new clinical insights.
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.
No takes yet. Share an insight, caveat, or question.
Li et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: