The EEG in metabolic encephalopathy and coma

Research output: Contribution to journalReview articlepeer-review

Abstract

Excellent early work on stupor and coma can be found (particularly with regard to anoxia) in the work of Fischgold and Mathis (1959) in France, and Pamela Prior in England (1973a). These workers correlated deepening levels of coma with particular EEG patterns, and the suppression of EEG reactivity. Alpha frequency patterns in coma (alpha coma), spindle-like sleep patterns in coma (spindle coma) and "triphasic waves" are among the wide variety of endocrine disorders discussed in case reports and series leading to identification of particular EEG patterns. EEG correlations with prognosis are most reliable with cardiorespiratory arrest (CRA) with its consequent anoxic-ischemic insult. If etiology is known, EEG can often be a reliable predictor of outcome. EEG usually has little specificity with regards to etiology, but some patterns do favor particular diagnoses: for example, triphasic waves (TWs) are frequently seen with hepatic and renal insufficiency in young adults; spindle coma patterns are believed to indicate dysfunction at the brainstem level (Chatrian, 1990). EEG is most useful in differentiating organic from psychiatric conditions, in excluding nonconvulsive status epilepticus (NCSE), and in providing a rough guide as to the degree of cortical and subcortical dysfunction.

Original languageEnglish (US)
Pages (from-to)307-318
Number of pages12
JournalJournal of Clinical Neurophysiology
Volume21
Issue number5
StatePublished - Dec 23 2004

Keywords

  • Alpha coma
  • Coma
  • EEG
  • Endocrine disorders
  • Metabolic encephalopathies
  • Spindle coma
  • Stupor

ASJC Scopus subject areas

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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