NeuroImageNeurosciencePeer-reviewed journal article
Modulation of the spontaneous hemodynamic response function across levels of consciousness
Guo‐Rong WuiD, Carol Di PerriiD, Vanessa Charland‐VervilleiD, Charlotte MartialiD, Manon CarrièreiD, Audrey VanhaudenhuyseiD, Steven LaureysiD, Daniele MarinazzoiD
Abstract
Functional imaging research has already contributed with several results to the study of neural correlates of consciousness. Apart from task-related activation derived in fMRI, PET based glucose metabolism rate or cerebral blood flow account for a considerable proportion of the study of brain activity under different levels of consciousness. Resting state functional connectivity MRI is playing a crucial role to explore the consciousness related functional integration, successfully complementing PET, another widely used neuroimaging technique. Here, spontaneous hemodynamic response is introduced to characterize resting state brain activity giving information on the local metabolism (neurovascular coupling), and useful to improve the time-resolved activity and connectivity measures based on BOLD fMRI. This voxel-wise measure is then used to investigate the loss of consciousness under Propofol anesthesia and unresponsive wakefulness syndrome. The dysfunction of hemodynamic response in precuneus and posterior cingulate is found to be a common principle underlying loss of consciousness in both conditions. The thalamus appears to be less obviously modulated by Propofol, compared with frontoparietal regions. However, a significant increase in spontaneous thalamic hemodynamic response was found in patients in unresponsive wakefulness syndrome compared with healthy control. Our results ultimately show that anesthesia- or pathology-induced neurovascular coupling could be tracked by modulated spontaneous hemodynamic response derived from resting state fMRI.
- organism: human
- assay: bulk RNA-seq
- assay: imaging
- research focus: spatial domain detection
- research focus: differential expression
- approach: statistical model
- Citations
- 32
- FWCI
- 1.45
- Field percentile
- top 20%
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