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
Functional Magnetic Resonance Imaging Methods
Jingyuan E. Chen,Gary H. Glover +1 more
TL;DR: The methods used to acquire and analyze fMRI signals are reviewed to demonstrate brain-wide networks that result from brain regions with synchronized, apparently spontaneous activity.
Journal ArticleDOI
Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance.
TL;DR: It is shown that changes (EO minus EC) in the global signal amplitude are negatively correlated with the associated changes in EEG vigilance, which provides further support for a basic relationship between global sign amplitude and EEG vigilance.
Journal ArticleDOI
The brain functional connectome is robustly altered by lack of sleep.
Tobias Kaufmann,Torbjørn Elvsåshagen,Dag Alnæs,Nathalia Zak,Per Ø. Pedersen,Linn B. Norbom,Sophia H. Quraishi,Enzo Tagliazucchi,Helmut Laufs,Atle Bjørnerud,Ulrik Fredrik Malt,Ole A. Andreassen,Evangelos Roussos,Eugene P. Duff,Stephen M. Smith,Inge Rasmus Groote,Lars T. Westlye +16 more
TL;DR: It is concluded that both, a day of waking and a night of sleep deprivation dynamically alter the brain functional connectome.
Journal ArticleDOI
Resting-state “physiological networks”
Jingyuan E. Chen,Laura D. Lewis,Catie Chang,Qiyuan Tian,Nina E. Fultz,Ned A. Ohringer,Bruce R. Rosen,Jonathan R. Polimeni +7 more
TL;DR: It is shown that physiologically-coupled fluctuations alone can produce networks that strongly resemble previously reported resting-state networks, suggesting that, in some cases, the "physiological networks" seem to mimic the neuronal networks.
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Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics.
Daniel Gutierrez-Barragan,Daniel Gutierrez-Barragan,M. Albertus Basson,Stefano Panzeri,Alessandro Gozzi +4 more
TL;DR: It is shown that brain-wide patterns of fMRI co-activation can be reliably mapped at the group and subject level, defining a restricted set of recurring brain states characterized by rich network structure.
References
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