首页|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

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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Brain aging is typically associated with a significant decline in cognitive performance.Vascular risk fac-tors(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 cog-nition 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 cen-trality.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 sup-portive role of BTR on cognition during aging and highlight its potential application as an imaging marker for objective assessment of brain cognitive performance.

Brain resilienceVascular risk factorsCognition declineK-shell decompositionNetwork attack simulation

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

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Beijing Advanced Innovation Center for Biomedical Engineering,School of Biological Science and Medical Engineering,Beihang University,Beijing 100191,China

China National Clinical Research Center for Neurological Diseases,Beijing 100070,China

Department of Neurology,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China

Neuropsychiatric Institute,Prince of Wales Hospital,Sydney NSW 2031,Australia

Centre for Healthy Brain Ageing(CHeBA),Discipline of Psychiatry and Mental Health,School of Clinical Medicine,UNSW Medicine,Sydney NSW 2052,Australia

Department of Neurology,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China

Cerebrovascular Research Lab,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China

Department of Cardiology,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaChinese Academy of Medical Sciences Innovation Fund for Medical SciencesKey Science & Technologies R&D Program of Lishui CityAstraZeneca Investment(China)Beijing Natural Science Foundationthree National Health & Medical Research Council(NHMRC)Program Grantsthree National Health & Medical Research Council(NHMRC)Program Grantsthree National Health & Medical Research Council(NHMRC)Program GrantsPRECISE and MAS research teams

82372040822713292022YFC25049002016YFC09010022019-12M-5-0292019ZDYF18Z200016ID350833ID568969APP1093083

2024

科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCD
ISSN:1001-6538
年,卷(期):2024.69(17)