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Exploring the link between brain topological resilience and cognitive performance in the context of aging and vascular risk factors:A cross-ethnicity population-based study

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Science Bulletin 2024年第17期69卷 2735-2744页

作者： Hao Liu Jing Jing Jiyang Jiang Wei Wen Wanlin Zhu Zixiao Li Yuesong Pan Xueli Cai Chang Liu Yijun Zhou Xia Meng Yilong Wang Hao Li Yong Jiang Huaguang Zheng Suying Wang Haijun Niu Nicole Kochan Henry Brodaty Tiemin Wei Perminder S.Sachdev Yubo Fan Tao Liu Yongjun Wang Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100191China China National Clinical Research Center for Neurological Diseases Beijing 100070China Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Neuropsychiatric Institute Prince of Wales HospitalSydney NSW 2031Australia Centre for Healthy Brain Ageing(CHeBA) Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUNSW MedicineSydney NSW 2052Australia Department of Neurology Lishui HospitalZhejiang University School of MedicineLishui 323000China Cerebrovascular Research Lab Lishui HospitalZhejiang University School of MedicineLishui 323000China Department of Cardiology Lishui HospitalZhejiang University School of MedicineLishui 323000China

Brain aging is typically associated with a significant decline in cognitive *** risk factors(VRF)and subsequent atherosclerosis(AS)play a major role in this *** resilience reflects the brain’s ability to withstand external perturbations,but the relationship of brain resilience with cognition during the aging process remains ***,we investigated how brain topological resilience(BTR)is associated with cognitive performance in the face of aging and vascular risk *** 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 *** was defined based on changes in the size of the largest subgroup of the network during the simulation ***,we explored the negative correlations of BTR with age,VRF,and AS,and its positive correlation with cognitive ***,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 *** results also indicated the specificity of this metric,independent of brain ***,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.

关键词： Brain resilience Vascular risk factors Cognition decline K-shell decomposition network attack simulation

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