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Propofol attenuates low-frequency fluctuations of resting-state fMRI BOLD signal in the anterior frontal cortex upon loss of consciousness.

Authors :
Liu, Xiaolin
Lauer, Kathryn K.
Douglas Ward, B.
Roberts, Christopher
Liu, Suyan
Gollapudy, Suneeta
Rohloff, Robert
Gross, William
Chen, Guangyu
Xu, Zhan
Binder, Jeffrey R.
Li, Shi-Jiang
Hudetz, Anthony G.
Source :
NeuroImage. Feb2017, Vol. 147, p295-301. 7p.
Publication Year :
2017

Abstract

Recent studies indicate that spontaneous low-frequency fluctuations (LFFs) of resting-state functional magnetic resonance imaging (rs-fMRI) blood oxygen level-dependent (BOLD) signals are driven by the slow (<0.1 Hz) modulation of ongoing neuronal activity synchronized locally and across remote brain regions. How regional LFFs of the BOLD fMRI signal are altered during anesthetic-induced alteration of consciousness is not well understood. Using rs-fMRI in 15 healthy participants, we show that during administration of propofol to achieve loss of behavioral responsiveness indexing unconsciousness, the fractional amplitude of LFF (fALFF index) was reduced in comparison to wakeful baseline in the anterior frontal regions, temporal pole, hippocampus, parahippocampal gyrus, and amygdala. Such changes were absent in large areas of the motor, parietal, and sensory cortices. During light sedation characterized by the preservation of overt responsiveness and therefore consciousness, fALFF was reduced in the subcortical areas, temporal pole, medial orbital frontal cortex, cingulate cortex, and cerebellum. Between light sedation and deep sedation, fALFF was reduced primarily in the medial and dorsolateral frontal areas. The preferential reduction of LFFs in the anterior frontal regions is consistent with frontal to sensory-motor cortical disconnection and may contribute to the suppression of consciousness during general anesthesia. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538119
Volume :
147
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
121189890
Full Text :
https://doi.org/10.1016/j.neuroimage.2016.12.043