Association between metabolic syndrome and resting-state functional brain connectivity.
Association between metabolic syndrome and resting-state functional brain connectivity.
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DOI：
10.1016/j.neurobiolaging.2021.03.012
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发表时间：
2021-08
影响因子：
4.2
通讯作者：
Leritz EC
中科院分区：
文献类型：
--
作者：
Rashid B;Poole VN;Fortenbaugh FC;Esterman M;Milberg WP;McGlinchey RE;Salat DH;Leritz EC
研究代谢综合征（MetS）是否会破坏大规模皮质脑网络的静息态功能连接（FC），MetS是三个或更多心血管危险因素（RF）的聚集。从78名患有和不患有代谢综合征（MetS）的中年和老年人（27名MetS; 51名非MetS）中收集静息状态功能磁共振成像（fMRI）数据。FC地图是从大规模脑网络中的内在活动的时间序列中导出的，通过使用基于全脑种子的FC方法将空间平均时间序列与所有脑体素相关联。与非MetS个体相比，MetS参与者在核心大脑区域表现出超连接性，并有证据表明模块性丧失。此外，在左右半球的大部分种子区域中观察到较高的网络间MetS相关效应的模式。这些研究结果表明，MetS与改变的内在通信通过核心神经网络和破坏网络之间的连接在整个大脑由于共同发生的血管RF MetS。
To examine whether metabolic syndrome (MetS), the clustering of three or more cardiovascular risk factors (RFs), disrupts the resting-state functional connectivity (FC) of the large-scale cortical brain networks. Resting-state functional magnetic resonance imaging (fMRI) data were collected from seventy-eight middle-aged and older adults living with and without metabolic syndrome (MetS) (27 MetS; 51 non-MetS). FC maps were derived from the time series of intrinsic activity in the large-scale brain networks by correlating the spatially averaged time series with all brain voxels using a whole-brain seed-based FC approach. Participants with MetS showed hyperconnectivity across the core brain regions with evidence of loss of modularity when compared with non-MetS individuals. Furthermore, patterns of higher between-network MetS-related effects were observed across most of the seed regions in both right and left hemispheres. These findings indicate that MetS is associated with altered intrinsic communication across core neural networks and disrupted between-network connections across the brain due to the co-occurring vascular RFs in MetS.
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影响因子：
1.8
作者：
Bucur B;Madden DJ
通讯作者：
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影响因子：
5.7
作者：
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DOI：
10.1073/pnas.1415122111
发表时间：
2014-11-18
影响因子：
11.1
作者：
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通讯作者：
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DOI：
10.1161/atvbaha.107.151092
发表时间：
2008-04-01
影响因子：
8.7
作者：
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通讯作者：
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DOI：
10.1073/pnas.0308627101
发表时间：
2004-03-30
影响因子：
11.1
作者：
Greicius, MD;Srivastava, G;Menon, V
通讯作者：
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