A systematic review of electroencephalography measures in disorders of consciousness structures available knowledge to promote translation into clinical management.
Systematic Review
Do electroencephalography (EEG) measures improve diagnostic classification and prognosis estimation in patients with disorders of consciousness?
EEG measures show significant potential as surrogate markers for differentiating states of consciousness and predicting clinical outcomes in patients with disorders of consciousness.
Disorders of consciousness (DOC) are an important but still underexplored entity in neurology. Novel electroencephalography (EEG) measures are currently being employed for improving diagnostic classification, estimating prognosis and supporting medicolegal decision-making in DOC patients. However, complex recording protocols, a confusing variety of EEG measures, and complicated analysis algorithms create roadblocks against broad application. We conducted a systematic review based on English-language studies in PubMed, Medline and Web of Science databases. The review structures the available knowledge based on EEG measures and analysis principles, and aims at promoting its translation into clinical management of DOC patients.
Bai et al. (Fri,) conducted a systematic review in Disorders of consciousness. Electroencephalography (EEG) was evaluated. A systematic review of electroencephalography measures in disorders of consciousness structures available knowledge to promote translation into clinical management.