Novel approaches to prediction in severe brain injury

Brian C. Fidali, Robert D. Stevens, Jan Claassen

Research output: Contribution to journalReview articlepeer-review


PURPOSE OF REVIEW: Recovery 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 FINDINGS: Recent 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. SUMMARY: Advances 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 languageEnglish (US)
Pages (from-to)669-675
Number of pages7
JournalCurrent opinion in neurology
Issue number6
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology


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