机构地区:[1]Beijing Advanced Innovation Center for Biomedical Engineering,School of Biological Science and Medical Engineering,Beihang University,Beijing 100191,China [2]China National Clinical Research Center for Neurological Diseases,Beijing 100070,China [3]Department of Neurology,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China [4]Neuropsychiatric Institute,Prince of Wales Hospital,Sydney NSW 2031,Australia [5]Centre for Healthy Brain Ageing(CHeBA),Discipline of Psychiatry and Mental Health,School of Clinical Medicine,UNSW Medicine,Sydney NSW 2052,Australia [6]Department of Neurology,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China [7]Cerebrovascular Research Lab,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China [8]Department of Cardiology,Lishui Hospital,Zhejiang University School of Medicine,Lishui 323000,China
出 处:《Science Bulletin》2024年第17期2735-2744,共10页科学通报(英文版)
基 金:National Natural Science Foundation of China(82372040 and 82271329);National Key Research and Development Program of China(2022YFC2504900and 2016YFC0901002);Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences(2019-I2M-5-029);Key Science&Technologies R&D Program of Lishui City(2019ZDYF18);AstraZeneca Investment(China)and Beijing Natural Science Foundation(Z200016);The Sydney Memory and Ageing Study has been funded by three National Health&Medical Research Council(NHMRC)Program Grants(ID350833,ID568969,and APP1093083)。
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.
关 键 词:Brain resilience Vascular risk factors Cognition decline K-shell decomposition Network attack simulation
分 类 号:R743[医药卫生—神经病学与精神病学]
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