Impact of global signal regression on characterizing dynamic functional connectivity and brain states

NeuroImage
Huaze XuHui Shen

Abstract

Recently, resting-state functional magnetic resonance imaging (fMRI) studies have been extended to explore fluctuations in correlations over shorter timescales, referred to as dynamic functional connectivity (dFC). However, the impact of global signal regression (GSR) on dFC is not well established, despite the intensive investigations of the influence of GSR on static functional connectivity (sFC). This study aimed to examine the effect of GSR on the performance of the sliding-window correlation, a commonly used method for capturing functional connectivity (FC) dynamics based on resting-state fMRI and simultaneous electroencephalograph (EEG)-fMRI data. The results revealed that the impact of GSR on dFC was spatially heterogeneous, with some susceptible regions including the occipital cortex, sensorimotor area, precuneus, posterior insula and superior temporal gyrus, and that the impact was temporally modulated by the mean global signal (GS) magnitude across windows. Furthermore, GSR substantially changed the connectivity structures of the FC states responding to a high GS magnitude, as well as their temporal features, and even led to the emergence of new FC states. Conversely, those FC states marked by obvious anti-correlation...Continue Reading

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Citations

Jan 22, 2019·Human Brain Mapping·Akhil KottaramAndrew Zalesky
Aug 29, 2019·Frontiers in Neuroscience·Sanam MaknojiaS J Graham
Jan 12, 2020·Nature Communications·Tamas SpisakUlrike Bingel
Aug 14, 2020·Social Cognitive and Affective Neuroscience·Armin IrajiVince D Calhoun
May 16, 2021·Journal of Affective Disorders·Danqing HuangYicheng Long
May 28, 2021·Cognitive Neurodynamics·Zhongyang WangWei Qian
Dec 7, 2021·Frontiers in Neuroscience·Hongyi ZhengWenbin Zheng

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