The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures
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TLDR
The amplitude of the global signal exhibited a significant negative correlation with EEG vigilance across subjects studied in the eyes-closed condition and increases in EEG vigilance were significantly associated with both a decrease in global signal amplitude and an increase in the average level of anti-correlation between the default mode network and the task-positive network.About:
This article is published in NeuroImage.The article was published on 2013-12-01 and is currently open access. It has received 252 citations till now. The article focuses on the topics: Resting state fMRI & Vigilance (psychology).read more
Citations
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Journal ArticleDOI
Global brain signal in awake rats
TL;DR: The data collectively suggest that the global rsfMRI signal contains significant neural components that involve coordinated activities in the thalamo-cortical and hippocampo- cortical networks.
Journal ArticleDOI
A Unified Theory of Neuro-MRI Data Shows Scale-Free Nature of Connectivity Modes.
TL;DR: A new theoretical and computational approach for combining these different MRI modalities into a powerful and versatile framework that combines the recently developed methods for morphological shape analysis and segmentation, simultaneous local diffusion estimation and global tractography, and nonlinear and nongaussian spatial-temporal activation pattern classification and ranking is developed.
Journal ArticleDOI
Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep.
Shengpei Wang,Yun Li,Shuang Qiu,Chuncheng Zhang,Guyan Wang,Junfang Xian,Tianzuo Li,Huiguang He +7 more
TL;DR: Rich club of the brain functional network was reorganized during propofol-induced unconsciousness and the characterizations of rich-club organization might underlie the common neurological mechanism of pharmacological and physiological unconsciousness.
Posted ContentDOI
Resting-state "Physiological Networks"
Jingyuan E. Chen,Laura D. Lewis,Catie Chang,Nina E. Fultz,Ned A. Ohringer,Bruce R. Rosen,Bruce R. Rosen,Jonathan R. Polimeni,Jonathan R. Polimeni +8 more
TL;DR: By analyzing a large group of subjects from the 3T Human Connectome Project database, this work demonstrates brain-wide and noticeably heterogenous dynamics attributable to either respiratory variation or heart rate changes that give rise to apparent “connectivity” patterns that resemble previously reported resting-state networks derived from fMRI data.
Journal ArticleDOI
Reprint of 'Noise contributions to the fMRI signal: An Overview'.
TL;DR: The characteristics of the various noise sources as well as the mechanisms through which they affect the fMRI signal are reviewed and approaches for distinguishing signal from noise are reviewed.
References
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