Abstract
Purpose of reviewRecovery after severe brain injury is variable and challenging to accurately predict at the individual patient level. This review highlights new developments in clinical prognostication with a special focus on the prediction of consciousness and increasing reliance on methods from data science.Recent findingsRecent research has leveraged serum biomarkers, quantitative electroencephalography, MRI, and physiological time-series to build models for recovery prediction. The analysis of high-resolution data and the integration of features from different modalities can be approached with efficient computational techniques.SummaryAdvances in neurophysiology and neuroimaging, in combination with computational methods, represent a novel paradigm for prediction of consciousness and functional recovery after severe brain injury. Research is needed to produce reliable, patient-level predictions that could meaningfully impact clinical decision making.
Original language | English (US) |
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Pages (from-to) | 669-675 |
Number of pages | 7 |
Journal | Current opinion in neurology |
Volume | 33 |
Issue number | 6 |
DOIs | |
State | Published - Dec 1 2020 |
Keywords
- anoxic brain injury
- coma
- consciousness
- electroencephalography
- traumatic brain injury
ASJC Scopus subject areas
- Clinical Neurology
- Neurology