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心血管代谢健康与中年及老年人的功能性大脑连接有关:来自人类连接组计划-老化研究的结果。

Cardiovascular and metabolic health is associated with functional brain connectivity in middle-aged and older adults: Results from the Human Connectome Project-Aging study.

机构信息

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.

Washington University School of Medicine, St. Louis, MO, United States.

出版信息

Neuroimage. 2023 Aug 1;276:120192. doi: 10.1016/j.neuroimage.2023.120192. Epub 2023 May 27.

Abstract

Several cardiovascular and metabolic indicators, such as cholesterol and blood pressure have been associated with altered neural and cognitive health as well as increased risk of dementia and Alzheimer's disease in later life. In this cross-sectional study, we examined how an aggregate index of cardiovascular and metabolic risk factor measures was associated with correlation-based estimates of resting-state functional connectivity (FC) across a broad adult age-span (36-90+ years) from 930 volunteers in the Human Connectome Project Aging (HCP-A). Increased (i.e., worse) aggregate cardiometabolic scores were associated with reduced FC globally, with especially strong effects in insular, medial frontal, medial parietal, and superior temporal regions. Additionally, at the network-level, FC between core brain networks, such as default-mode and cingulo-opercular, as well as dorsal attention networks, showed strong effects of cardiometabolic risk. These findings highlight the lifespan impact of cardiovascular and metabolic health on whole-brain functional integrity and how these conditions may disrupt higher-order network integrity.

摘要

多项心血管和代谢指标,如胆固醇和血压,与神经和认知健康改变以及晚年痴呆和阿尔茨海默病风险增加有关。在这项横断面研究中,我们研究了心血管和代谢风险因素综合指标与来自人类连接组计划老龄化(HCP-A)的 930 名志愿者在广泛的成年年龄段(36-90+ 岁)的静息状态功能连接(FC)的相关性估计值之间的关系。累积的心血管代谢评分越高(即越差),FC 整体下降越明显,在岛叶、内侧额回、内侧顶叶和颞上回区域的效应尤为强烈。此外,在网络层面,核心脑网络(如默认模式和扣带前回网络)以及背侧注意网络之间的 FC 也受到心血管代谢风险的强烈影响。这些发现强调了心血管和代谢健康对全脑功能完整性的寿命影响,以及这些情况如何破坏高级网络的完整性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca45/10330931/d3df87bce793/nihms-1910688-f0001.jpg

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