Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness

Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness

Introduction: Prognostication in patients with prolonged disorders of consciousness (pDoC) remains a challenging task. Electroencephalography (EEG) is a neurophysiological method that provides objective information for evaluating overall brain function. In this study, we aim to investigate the multi...

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Veröffentlicht in:Frontiers in neuroscience 2025-02, Vol.19
Hauptverfasser: Li, Hui, Dong, Linghui, Su, Wenlong, Liu, Ying, Tang, Zhiqing, Liao, Xingxing, Long, Junzi, Zhang, Xiaonian, Sun, Xinting, Zhang, Hao
Format: Artikel
Sprache:eng
Schlagworte:
Brain research
Coma
Communication
Consciousness
EEG
Electrodes
Electroencephalography
Fourier transforms
Information processing
Machine learning
microstate
minimally conscious state
prolonged disorders of consciousness
unresponsive wakefulness syndrome
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Zusammenfassung:Introduction: Prognostication in patients with prolonged disorders of consciousness (pDoC) remains a challenging task. Electroencephalography (EEG) is a neurophysiological method that provides objective information for evaluating overall brain function. In this study, we aim to investigate the multiple features of pDoC using EEG and evaluate the prognostic values of these indicators.
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2025.1492225