Event Abstract Back to Event Modulated spontaneous hemodynamic response to loss of consciousness Guorong Wu1, 2, Carol Di Perri3, 4, Vanessa Charland-Verville4, Charlotte Martial5, Steven Laureys5 and Daniele Marinazzo2* 1 Chongqing University, China 2 Ghent University, Faculty of Psychology and Pedagogical Sciences - Department of Data Analysis, Belgium 3 Centre for Clinical Brain Sciences (CCBS), University of Edinburgh, United Kingdom 4 GIGA Consciousness, University of Liège, Belgium 5 GIGA-Neurosciences, University of Liège, Belgium 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 we apply a signal processing technique to retrieve a proxy of the hemodynamic response function from resting state fMRI recordings (rsHRF). rsHRF is useful to characterize resting state brain activity giving information on the local metabolism (neurovascular coupling), and 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. References Boveroux, P., Vanhaudenhuyse, A., Bruno, M.A., Noirhomme, Q., Lauwick, S., Luxen, A., Degueldre, C., Plenevaux, A., Schnakers, C., Phillips, C., Brichant, J.F., Bonhomme, V., Maquet, P., Greicius, M.D., Laureys, S., Boly, M., 2010. Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness. Anesthesiology 113, 1038-1053. Rangaprakash, D., Wu, G.R., Marinazzo, D., Hu, X., Deshpande, G., 2018. Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity. Magnetic resonance in medicine. 2018 Apr 15. doi: 10.1002/mrm.27146. [Epub ahead of print] Wu, G.R., Liao, W., Stramaglia, S., Ding, J.R., Chen, H., Marinazzo, D., 2013. A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Med Image Anal 17, 365-374. https://github.com/compneuro-da/rsHRF Keywords: fMRI — functional magnetic resonance imaging, Hemodynamic response function (HRF), Consciousness, Anesthesia, Signal processing Conference: Belgian Brain Congress 2018 — Belgian Brain Council, LIEGE, Belgium, 19 Oct - 19 Oct, 2018. Presentation Type: e-posters Topic: NOVEL STRATEGIES FOR NEUROLOGICAL AND MENTAL DISORDERS: SCIENTIFIC BASIS AND VALUE FOR PATIENT-CENTERED CARE Citation: Wu G, Di Perri C, Charland-Verville V, Martial C, Laureys S and Marinazzo D (2019). Modulated spontaneous hemodynamic response to loss of consciousness. Front. Neurosci. Conference Abstract: Belgian Brain Congress 2018 — Belgian Brain Council. doi: 10.3389/conf.fnins.2018.95.00025 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 10 Aug 2018; Published Online: 17 Jan 2019. * Correspondence: Prof. Daniele Marinazzo, Ghent University, Faculty of Psychology and Pedagogical Sciences - Department of Data Analysis, Ghent, B-9000, Belgium, daniele.marinazzo@ugent.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Guorong Wu Carol Di Perri Vanessa Charland-Verville Charlotte Martial Steven Laureys Daniele Marinazzo Google Guorong Wu Carol Di Perri Vanessa Charland-Verville Charlotte Martial Steven Laureys Daniele Marinazzo Google Scholar Guorong Wu Carol Di Perri Vanessa Charland-Verville Charlotte Martial Steven Laureys Daniele Marinazzo PubMed Guorong Wu Carol Di Perri Vanessa Charland-Verville Charlotte Martial Steven Laureys Daniele Marinazzo Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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