NICOTINE ADDICTION DECREASES DYNAMIC CONNECTIVITY FREQUENCY IN FUNCTIONAL MAGNETIC RESONANCE IMAGING

被引：0

作者：

Vergara, Victor M. ^{[1
]}

Calhoun, Vince D. ^{[1
]}

机构：

[1] Triinst Ctr Translat Res Neuroimaging & Data Sci, 25 Pk Pl, Atlanta, GA 30303 USA

来源：

2020 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI 2020) | 2020年

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

Functional connectivity; fMRI; nicotine addiction; NETWORK CONNECTIVITY; ALCOHOL; BRAIN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Abnormal functional network connectivity has been related to nicotine addiction where similar patterns of dysfunction were found after applying dynamic or static connectivity methods. Further developments indicate that connectivity patterns might also exhibit a dysfunctional frequency spectrum. This work employs a quasi-stable time-varying functional connectivity framework to explore frequency effects related to nicotine use. Results suggest that nicotine abstinence in addicted subjects is linked to a frequency decrease of resting state connectivity fluctuations. This effect was found in one out of four quasi-stable connectivity states.

引用

页码：34 / 37

页数：4

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