4.6 Article

Dissociation of motor control from motor awareness in awake sleepwalkers: An EEG study in virtual reality

期刊

CORTEX
卷 149, 期 -, 页码 165-172

出版社

ELSEVIER MASSON, CORP OFF
DOI: 10.1016/j.cortex.2021.12.016

关键词

VR; Redirected walking; Parasomnia; Neurological disorders; EEG

资金

  1. Nelly-Stolz Legat
  2. Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

Recent VR research has shown evidence of dissociation between motor control and motor awareness in awake sleepwalkers. By measuring EEG modulation during redirected walking in VR, researchers discovered distinct EEG patterns in sleepwalkers compared to controls, supporting the hypothesis of brain-body dissociation in awake sleepwalkers. The study also demonstrates the potential of using EEG biomarkers in VR to better understand altered motor awareness in sleepwalkers and potentially diagnose neurological diseases.
Recent behavioral evidence from a virtual reality (VR) study indicates that awake sleep-walkers show dissociation of motor control and motor awareness. This dissociation re-sembles the nocturnal disintegration of motor awareness and movement during episodes of sleepwalking. Here, we set out to examine the neural underpinnings of altered motor awareness in sleepwalkers by measuring EEG modulation during redirected walking in VR. To this end, we measured scalp EEG during ongoing motor behavior to provide information on motor processing and its modulation in VR. Using this approach, we discovered distinct EEG patterns associated to dual tasking and sub-threshold motor control in sleepwalkers compared to control subjects. These observations provide further electrophysiological evidence for the proposed brain-body dissociation in awake sleepwalkers. This study shows proof-of-principle that EEG biomarkers of movement in a VR setting add to the understanding of altered motor awareness in sleepwalkers. In a broader perspective, we confirm the feasibility of using the additional dimensionality in VR providing novel diagnostic biomarkers not accessible to conventional clinical in-vestigations. In future studies, this approach could contribute to the diagnostic work-up of patients with a broad spectrum of neurological diseases. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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