Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review

Autor: Brian A. Zaboski, Elisa F. Stern, Patrick D. Skosnik, Christopher Pittenger
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Frontiers in Psychiatry, Vol 12 (2021)
Druh dokumentu: article
ISSN: 1664-0640
DOI: 10.3389/fpsyt.2021.703398
Popis: Electroencephalography (EEG) measures the brain's electrical activity with high temporal resolution. In comparison to neuroimaging modalities such as MRI or PET, EEG is relatively cheap, non-invasive, portable, and simple to administer, making it an attractive tool for clinical deployment. Despite this, studies utilizing EEG to investigate obsessive-compulsive disorder (OCD) are relatively sparse. This contrasts with a robust literature using other brain imaging methodologies. The present review examines studies that have used EEG to examine predictors and correlates of response in OCD and draws tentative conclusions that may guide much needed future work. Key findings include a limited literature base; few studies have attempted to predict clinical change from EEG signals, and they are confounded by the effects of both pharmacotherapy and psychotherapy. The most robust literature, consisting of several studies, has examined event-related potentials, including the P300, which several studies have reported to be abnormal at baseline in OCD and to normalize with treatment; but even here the literature is quite heterogeneous, and more work is needed. With more robust research, we suggest that the relatively low cost and convenience of EEG, especially in comparison to fMRI and PET, make it well-suited to the development of feasible personalized treatment algorithms.
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