Literature DB >> 31284028

Modulation of the spontaneous hemodynamic response function across levels of consciousness.

Guo-Rong Wu1, Carol Di Perri2, Vanessa Charland-Verville3, Charlotte Martial3, Manon Carrière3, Audrey Vanhaudenhuyse3, Steven Laureys3, Daniele Marinazzo4.   

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. Changes in the hemodynamic response in precuneus and posterior cingulate are 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 controls. Our results ultimately show that anesthesia- or pathology-induced neurovascular coupling could be tracked by modulated spontaneous hemodynamic response derived from resting state fMRI.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31284028     DOI: 10.1016/j.neuroimage.2019.07.011

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics.

Authors:  Filip Sobczak; Yi He; Terrence J Sejnowski; Xin Yu
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

Review 2.  Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation.

Authors:  Jurgen A H R Claassen; Dick H J Thijssen; Ronney B Panerai; Frank M Faraci
Journal:  Physiol Rev       Date:  2021-03-26       Impact factor: 37.312

Review 3.  Update on neuroimaging in disorders of consciousness.

Authors:  Leandro R D Sanz; Aurore Thibaut; Brian L Edlow; Steven Laureys; Olivia Gosseries
Journal:  Curr Opin Neurol       Date:  2021-08-01       Impact factor: 6.283

4.  The Atypical Effective Connectivity of Right Temporoparietal Junction in Autism Spectrum Disorder: A Multi-Site Study.

Authors:  Zeqi Hao; Yuyu Shi; Lina Huang; Jiawei Sun; Mengting Li; Yanyan Gao; Jing Li; Qianqian Wang; Linlin Zhan; Qingguo Ding; Xize Jia; Huayun Li
Journal:  Front Neurosci       Date:  2022-07-18       Impact factor: 5.152

  4 in total

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