Semin Neurol 2022; 42(03): 309-324
DOI: 10.1055/s-0042-1755220
Review Article

Conventional and Investigational Approaches Leveraging Clinical EEG for Prognosis in Acute Disorders of Consciousness

William H. Curley
1   Harvard Medical School, Boston, Massachusetts
2   Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, Massachusetts
,
Angela Comanducci
3   IRCSS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
4   Università Campus Bio-Medico di Roma, Rome, Italy
,
2   Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, Massachusetts
› Author Affiliations

Abstract

Prediction of recovery of consciousness after severe brain injury is difficult and limited by a lack of reliable, standardized biomarkers. Multiple approaches for analysis of clinical electroencephalography (EEG) that shed light on prognosis in acute severe brain injury have emerged in recent years. These approaches fall into two major categories: conventional characterization of EEG background and quantitative measurement of resting state or stimulus-induced EEG activity. Additionally, a small number of studies have associated the presence of electrophysiologic sleep features with prognosis in the acute phase of severe brain injury. In this review, we focus on approaches for the analysis of clinical EEG that have prognostic significance and that could be readily implemented with minimal additional equipment in clinical settings, such as intensive care and intensive rehabilitation units, for patients with acute disorders of consciousness.



Publication History

Article published online:
13 September 2022

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