TY - JOUR
T1 - Exploring the link between brain topological resilience and cognitive performance in the context of aging and vascular risk factors
T2 - A cross-ethnicity population-based study
AU - Liu, Hao
AU - Jing, Jing
AU - Jiang, Jiyang
AU - Wen, Wei
AU - Zhu, Wanlin
AU - Li, Zixiao
AU - Pan, Yuesong
AU - Cai, Xueli
AU - Liu, Chang
AU - Zhou, Yijun
AU - Meng, Xia
AU - Wang, Yilong
AU - Li, Hao
AU - Jiang, Yong
AU - Zheng, Huaguang
AU - Wang, Suying
AU - Niu, Haijun
AU - Kochan, Nicole
AU - Brodaty, Henry
AU - Wei, Tiemin
AU - Sachdev, Perminder S.
AU - Fan, Yubo
AU - Liu, Tao
AU - Wang, Yongjun
N1 - Publisher Copyright:
© 2024 Science China Press
PY - 2024/9/15
Y1 - 2024/9/15
N2 - 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.
AB - 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.
KW - Brain resilience
KW - Cognition decline
KW - K-shell decomposition
KW - Network attack simulation
KW - Vascular risk factors
UR - https://www.scopus.com/pages/publications/85191438616
U2 - 10.1016/j.scib.2024.04.018
DO - 10.1016/j.scib.2024.04.018
M3 - 文章
AN - SCOPUS:85191438616
SN - 2095-9273
VL - 69
SP - 2735
EP - 2744
JO - Science Bulletin
JF - Science Bulletin
IS - 17
ER -