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Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
Brain and Behavior ( IF 2.6 ) Pub Date : 2021-03-30 , DOI: 10.1002/brb3.2101
Mahdieh Ghasemi 1 , Ali Foroutannia 1 , Abbas Babajani-Feremi 2, 3
Affiliation  

Resting‐state functional magnetic resonance imaging (Rs‐fMRI) can be used to investigate the alteration of resting‐state brain networks (RSNs) in patients with Parkinson's disease (PD) when compared with healthy controls (HCs). The aim of this study was to identify the differences between individual RSNs and reveal the most important discriminatory characteristic of RSNs between the HCs and PDs.

中文翻译:

帕金森病静息态网络的特征:多方面功能连接研究

静息态功能磁共振成像(Rs-fMRI)可用于研究帕金森病(PD)患者与健康对照(HC)相比静息态大脑网络(RSN)的变化。本研究的目的是确定个体 RSN 之间的差异,并揭示 HC 和 PD 之间 RSN 最重要的区分特征。
更新日期:2021-05-14
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