The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer?s disease

被引：9

作者：

Sendi, Mohammad S. E. ^{[1
,2
,3
,4
,5
]}

Zendehrouh, Elaheh ^{[3
,5
]}

Ellis, Charles A. ^{[1
,2
,5
]}

Fu, Zening ^{[5
,6
]}

Chen, Jiayu ^{[5
,6
]}

Miller, Robyn L. ^{[5
,6
]}

Mormino, Elizabeth C. ^{[7
]}

Salat, David H. ^{[8
,9
]}

Calhoun, Vince D. ^{[1
,2
,3
,5
,6
]}

机构：

[1] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30332 USA

[2] Emory Univ, Atlanta, GA 30322 USA

[3] Georgia Inst Technol, Dept Elect & Comp Engn, Atlanta, GA USA

[4] Harvard Med Sch, McLean Hosp, Boston, MA USA

[5] Georgia State Univ, Emory Univ Atlanta, Georgia Inst Technol, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA USA

[6] Georgia State Univ, Atlanta, GA USA

[7] Stanford Med Sch, Palo Alto, CA USA

[8] Harvard Med Sch, Boston, MA USA

[9] Massachusetts Gen Hosp, Boston, MA USA

来源：

NEUROIMAGE-CLINICAL | 2023年 / 37卷

关键词：

Alzheimer ?s disease; Genetic risk resting-state fMRI static functional; network connectivity; Dynamic functional network connectivity sex; difference; OLDER-ADULTS; APOE; FMRI; ALLELE; SEX;

D O I：

10.1016/j.nicl.2023.103363

中图分类号：

R445 [影像诊断学];

学科分类号：

100207 ;

摘要：

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.

引用

页数：11

共 35 条

[1] Resting state fMRI in Alzheimer's disease: beyond the default mode network [J].