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Theta network centrality correlates with tDCS response in disorders of consciousness

Thibaut, Aurore, Chennu, Srivas, Chatelle, Camille, Martens, Géraldine, Annen, Jitka, Cassol, Helena, Laureys, Steven (2018) Theta network centrality correlates with tDCS response in disorders of consciousness. Brain Stimulation, 11 (6). pp. 1407-1409. ISSN 1935-861X. (doi:10.1016/j.brs.2018.09.002) (KAR id:69096)

Abstract

Transcranial direct current stimulation (tDCS) applied over the dorsolateral prefrontal cortex (DLPFC) has induced promising behavioral improvement, both in acute and chronic minimally conscious state (MCS - [ 1 ]) patients [ 2 , 3 ]. We previously defined a tDCS-responder as a patient who demonstrates a new sign of consciousness following stimulation, which was neither present beforehand, nor before or after the sham stimulation [ 2 ]. In a study investigating the metabolic and structural differences between DLPFC-tDCS-responders and non-responders, we have identified that tDCS-responders presented a preservation of brain metabolism and grey matter integrity under the stimulated area, but also in the thalamus and the precuneus, areas involved in consciousness recovery [ 4 ]. Even if these results provided relevant insights into potential biomarkers of responsiveness, the access to such neuroimaging techniques (positron emission tomography - PET - and magnetic resonance imaging - MRI) remains limited. Recently, it has been demonstrated that high-density electroencephalography (hdEEG) network metrics in the alpha band correlates with the level of consciousness [ 5 ]. In addition, a strong correlation between brain metabolism and hdEEG network metrics was reported, making this bedside assessment a robust way to evaluate patients’ brain function.

Item Type: Article
DOI/Identification number: 10.1016/j.brs.2018.09.002
Uncontrolled keywords: coma, disorders of consciousness, electroencephalography (EEG), connectivity, transcranial direct current stimulation (tDCS)
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Depositing User: Srivas Chennu
Date Deposited: 13 Sep 2018 14:42 UTC
Last Modified: 05 Nov 2024 12:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69096 (The current URI for this page, for reference purposes)

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