Staging model in psychiatry: Review of the evolution of electroencephalography abnormalities in major psychiatric disorders. Issue 6 (27th January 2019)

• Record Type: Journal Article
• Authors: Lavoie, Suzie; Polari, Andrea R.; Goldstone, Sherilyn; Nelson, Barnaby; McGorry, Patrick D.
• Is Part Of: Early intervention in psychiatry. Volume 13:Issue 6(2019)
• Page Start: 1319
• Page End: 1328
• Publication Date: 2019-01-27
• Subjects: bipolar disorder -- first episode -- high risk -- major depressive disorder -- psychosis; Mental health -- Periodicals; Psychiatry -- Periodicals; Psychiatry -- Research -- Periodicals; Mental illness -- Prevention -- Research -- Periodicals; Mental illness -- Treatment -- Research -- Periodicals; 616.89
• DOI: 10.1111/eip.12792
• Languages: English
• ISSNs: 1751-7885

Abstract

Abstract : Aim: Clinical staging in psychiatry aims to classify patients according to the severity of their symptoms, from stage 0 (increased risk, asymptomatic) to stage 4 (severe illness), enabling adapted treatment at each stage of the illness. The staging model would gain specificity if one or more quantifiable biological markers could be identified. Several biomarkers reflecting possible causal mechanisms and/or consequences of the pathophysiology are candidates for integration into the clinical staging model of psychiatric illnesses. Methods: This review covers the evolution (from stage 0 to stage 4) of the most important brain functioning impairments as measured with electroencephalography (EEG), in psychosis spectrum and in severe mood disorders. Results: The present review of the literature demonstrates that it is currently not possible to draw any conclusion with regard to the state or trait character of any of the EEG impairments in both major depressive disorder and bipolar disorder. As for schizophrenia, the most promising markers of the stage of the illness are the pitch mismatch negativity as well as the p300 event‐related potentials, as these components seem to deteriorate with increasing severity of the illness. Conclusions: Given the complexity of major psychiatric disorders, and that not a single impairment can be observed in all patients, future research should most likely consider combinations of markers in the quest for a better identification of the stages of the psychiatric illnesses.