【摘要】 Brain aging is typically associated with a significant decline in cognitive performance.Vascular risk factors (VRF) and subsequent atherosclerosis (AS) play a major role in this process.Brain resilience reflects the brain’s ability to withstand external perturbations,but the relationship of brain resilience with cognition during the aging process remains unclear.Here,we investigated how brain topological resilience(BTR) is associated with cognitive performance in the face of aging and vascular risk factors.We used data from two cross-ethnicity community cohorts,PolyvasculaR Evaluation for Cognitive Impairment and Vascular Events (PRECISE,n=2220) and Sydney Memory and Ageing Study (MAS,n=246).We conducted an attack simulation on brain structural networks based on k-shell decomposition and node degree centrality.BTR was defined based on changes in the size of the largest subgroup of the network during the simulation process.Subsequently,we explored the negative correlations of BTR with age,VRF,and AS,and its positive correlation with cognitive performance.Furthermore,using structural equation modeling(SEM),we constructed path models to analyze the directional dependencies among these variables,demonstrating that aging,AS,and VRF affect cognition by disrupting BTR.Our results also indicated the specificity of this metric,independent of brain volume.Overall,these findings underscore the supportive role of BTR on cognition during aging and highlight its potential application as an imaging marker for objective assessment of brain cognitive performance.更多还原

【Abstract】 Brain aging is typically associated with a significant decline in cognitive performance.Vascular risk factors (VRF) and subsequent atherosclerosis (AS) play a major role in this process.Brain resilience reflects the brain’s ability to withstand external perturbations,but the relationship of brain resilience with cognition during the aging process remains unclear.Here,we investigated how brain topological resilience(BTR) is associated with cognitive performance in the face of aging and vascular risk factors.We used data from two cross-ethnicity community cohorts,PolyvasculaR Evaluation for Cognitive Impairment and Vascular Events (PRECISE,n=2220) and Sydney Memory and Ageing Study (MAS,n=246).We conducted an attack simulation on brain structural networks based on k-shell decomposition and node degree centrality.BTR was defined based on changes in the size of the largest subgroup of the network during the simulation process.Subsequently,we explored the negative correlations of BTR with age,VRF,and AS,and its positive correlation with cognitive performance.Furthermore,using structural equation modeling(SEM),we constructed path models to analyze the directional dependencies among these variables,demonstrating that aging,AS,and VRF affect cognition by disrupting BTR.Our results also indicated the specificity of this metric,independent of brain volume.Overall,these findings underscore the supportive role of BTR on cognition during aging and highlight its potential application as an imaging marker for objective assessment of brain cognitive performance.更多还原