The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease.
The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease.
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DOI：
10.1016/j.nicl.2023.103363
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发表时间：
2023
影响因子：
4.2
通讯作者：
Calhoun, Vince D.
中科院分区：
文献类型：
--
作者：
Sendi, Mohammad S. E.;Zendehrouh, Elaheh;Ellis, Charles A.;Fu, Zening;Chen, Jiayu;Miller, Robyn L.;Mormino, Elizabeth C.;Salat, David H.;Calhoun, Vince D.
关键词：
观察到阿尔茨海默病的遗传基因与静态和动态功能网络连接之间的关联。阿尔茨海默病风险较高的参与者表现出视觉感觉连接较差。阿尔茨海默病风险较低的参与者表现出更多的认知控制网络连接。在阿尔茨海默病遗传风险与静态和动态功能网络连接之间的联系中，性行为有着重要的贡献。载脂蛋白E(APOE)等位基因是与阿尔茨海默病(AD)风险相关的遗传因素。虽然先前的研究已经探索了AD遗传风险和静态功能网络连接(SFNC)之间的联系，但就我们所知，还没有研究评估动态FNC(DFNC)和AD遗传风险之间的关联。在这里，我们用数据驱动的方法研究了sFNC、dFNC和AD遗传风险之间的联系。我们使用了来自42岁至95岁(平均年龄60岁)的认知正常者(N=1,886)的rs-fMRI、人口统计学和APOE数据。我们将个人分为低风险、中等风险和高风险组。利用皮尔逊相关性，我们计算了七个大脑网络的sFNC。我们还计算了滑动窗口和皮尔逊相关的dFNC。通过k-均值聚类将dFNC窗口划分为三个不同的状态。接下来，我们计算每个受试者在每个州花费的时间比例，称为入住率或OCR和访问频率。我们比较了不同遗传风险个体的sFNC和dFNC特征，发现sFNC和dFNC都与AD遗传风险有关。我们发现，较高的AD风险降低了视觉感觉网络(VSN)内的fNC，并且AD风险较高的个体在VSN内dFNC较低的状态下花费的时间更长。我们还发现，AD遗传风险影响女性的全脑sFNC和dFNC，但不影响男性。总之，我们对sFNC、dFNC和AD遗传风险之间的联系提出了新的见解。
An association between Alzheimer’s disease genetic rinks with static and dynamic functional network connectivity was observed. Participants with higher risk of Alzheimer’s disease showed less visual sensory connectivity. Participants with lower risk of Alzheimer’s disease showed more cognitive control network connectivity. Sex has a significant contribution in the link between Alzheimer’s disease genetic risks with static and dynamic functional network connectivity. Apolipoprotein E (APOE) polymorphic alleles are genetic factors associated with Alzheimer’s disease (AD) risk. Although previous studies have explored the link between AD genetic risk and static functional network connectivity (sFNC), to the best of our knowledge, no previous studies have evaluated the association between dynamic FNC (dFNC) and AD genetic risk. Here, we examined the link between sFNC, dFNC, and AD genetic risk with a data-driven approach. We used rs-fMRI, demographic, and APOE data from cognitively normal individuals (N = 886) between 42 and 95 years of age (mean = 70 years). We separated individuals into low, moderate, and high-risk groups. Using Pearson correlation, we calculated sFNC across seven brain networks. We also calculated dFNC with a sliding window and Pearson correlation. The dFNC windows were partitioned into three distinct states with k-means clustering. Next, we calculated the proportion of time each subject spent in each state, called occupancy rate or OCR and frequency of visits. We compared both sFNC and dFNC features across individuals with different genetic risks and found that both sFNC and dFNC are related to AD genetic risk. We found that higher AD risk reduces within-visual sensory network (VSN) sFNC and that individuals with higher AD risk spend more time in a state with lower within-VSN dFNC. We also found that AD genetic risk affects whole-brain sFNC and dFNC in women but not men. In conclusion, we presented novel insights into the links between sFNC, dFNC, and AD genetic risk.
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影响因子：
4.2
作者：
Axelrud LK;Sato JR;Santoro ML;Talarico F;Pine DS;Rohde LA;Zugman A;Junior EA;Bressan RA;Grassi-Oliveira R;Pan PM;Hoffmann MS;Simioni AR;Guinjoan SM;Hakonarson H;Brietzke E;Gadelha A;Pellegrino da Silva R;Hoexter MQ;Miguel EC;Belangero SI;Salum GA
通讯作者：
Salum GA
NeuroMark：基于自动化和自适应 ICA 的管道，用于识别脑部疾病的可重复功能磁共振成像标记。
DOI：
10.1016/j.nicl.2020.102375
发表时间：
2020
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Du Y;Fu Z;Sui J;Gao S;Xing Y;Lin D;Salman M;Abrol A;Rahaman MA;Chen J;Hong LE;Kochunov P;Osuch EA;Calhoun VD;Alzheimer's Disease Neuroimaging Initiative
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
2.9
作者：
Dini H;Sendi MSE;Sui J;Fu Z;Espinoza R;Narr KL;Qi S;Abbott CC;van Rooij SJH;Riva-Posse P;Bruni LE;Mayberg HS;Calhoun VD
通讯作者：
Calhoun VD
一种全脑计算建模方法来解释阿尔茨海默氏病进展过程中静息状态功能连通性的变化。
DOI：
10.1016/j.nicl.2017.08.006
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Demirtaş M;Falcon C;Tucholka A;Gispert JD;Molinuevo JL;Deco G
通讯作者：
Deco G
影响因子：
4.5
作者：
Sendi, Mohammad S. E.;Pearlson, Godfrey D.;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.