Managing disorders of consciousness: the role of electroencephalography.
Yang BaiYajun LinUlf ZiemannPublished in: Journal of neurology (2020)
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.
Keyphrases
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- machine learning
- functional connectivity
- working memory
- peritoneal dialysis
- prognostic factors
- healthcare
- public health
- deep learning
- resting state
- autism spectrum disorder
- high resolution
- big data
- mass spectrometry
- artificial intelligence
- data analysis