TY - JOUR
T1 - Narrative Review
T2 - Quantitative EEG in Disorders of Consciousness
AU - Wutzl, Betty
AU - Golaszewski, Stefan M.
AU - Leibnitz, Kenji
AU - Langthaler, Patrick B.
AU - Kunz, Alexander B.
AU - Leis, Stefan
AU - Schwenker, Kerstin
AU - Thomschewski, Aljoscha
AU - Bergmann, Jürgen
AU - Trinka, Eugen
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5/25
Y1 - 2021/5/25
N2 - In this narrative review, we focus on the role of quantitative EEG technology in the diagnosis and prognosis of patients with unresponsive wakefulness syndrome and minimally conscious state. This paper is divided into two main parts, i.e., diagnosis and prognosis, each consisting of three subsections, namely, (i) resting-state EEG, including spectral power, functional connectivity, dynamic functional connectivity, graph theory, microstates and nonlinear measurements, (ii) sleep patterns, including rapid eye movement (REM) sleep, slow-wave sleep and sleep spindles and (iii) evoked potentials, including the P300, mismatch negativity, the N100, the N400 late positive component and others. Finally, we summarize our findings and conclude that QEEG is a useful tool when it comes to defining the diagnosis and prognosis of DOC patients.
AB - In this narrative review, we focus on the role of quantitative EEG technology in the diagnosis and prognosis of patients with unresponsive wakefulness syndrome and minimally conscious state. This paper is divided into two main parts, i.e., diagnosis and prognosis, each consisting of three subsections, namely, (i) resting-state EEG, including spectral power, functional connectivity, dynamic functional connectivity, graph theory, microstates and nonlinear measurements, (ii) sleep patterns, including rapid eye movement (REM) sleep, slow-wave sleep and sleep spindles and (iii) evoked potentials, including the P300, mismatch negativity, the N100, the N400 late positive component and others. Finally, we summarize our findings and conclude that QEEG is a useful tool when it comes to defining the diagnosis and prognosis of DOC patients.
KW - unresponsive wakefulness syndrome
KW - minimally conscious state
KW - EEG
KW - quantitative EEG
KW - disorders of consciousness
KW - diagnosis
KW - prognosis
UR - http://www.scopus.com/inward/record.url?scp=85108676844&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/34070647/
UR - https://www.mendeley.com/catalogue/3be55e9b-723c-38a0-9ec5-2da6878e2bca/
U2 - 10.3390/brainsci11060697
DO - 10.3390/brainsci11060697
M3 - Review article
C2 - 34070647
SN - 2076-3425
VL - 11
JO - Brain Sciences
JF - Brain Sciences
IS - 6
M1 - 697
ER -