Pharmaco-EEG of antipsychotics’ response: a systematic review

TL;DR

This paper reviews how EEG patterns can predict how well people with schizophrenia will respond to antipsychotic medications.

Contribution

The study systematically reviews EEG features associated with antipsychotic treatment response, identifying potential pre-treatment and treatment-related biomarkers.

Findings

Pre-treatment EEG features like increased theta power and high alpha power predict poor antipsychotic response.

During treatment, increased theta power and reduced beta-band activity are linked to better outcomes.

EEG shows promise as a predictive biomarker for antipsychotic response, though results remain inconsistent and require further research.

Abstract

Response to antipsychotic medications (AP) is subjected to a wide and unpredictable variability and efforts were directed to discover predictive biomarkers to personalize treatment. Electroencephalography abnormalities in subjects with schizophrenia were reported, as well as a pattern of EEG changes induced by APs

The aim of this review is to provide a synthesis of the EEG features that are related to APs efficacy, including both pre-treatment signatures and changes induced by APs during treatment.

A systematic review of English articles using PubMed, PsychINFO and the Cochrane database of systematic reviews was undertaken in april 2023. Additional studies were added by hand-search. Studies having as an endpoint the relationship between AP-related clinical improvement and electroencephalographic features were included. Heterogeneity prevented a quantitative synthesis.

Out of 1232 records screened, 22 studies were included in a final qualitative synthesis. Included studies evaluated resting-state and task-related power spectra, functional connectivity, microstates and epileptic abnormalities. At pre-treatment EEG, the most relevant predictors of a poor response were a change in theta power compared to healthy control, a high alpha power and connectivity, a diminished beta power in resting-state. Considering EEG during treatment, an increased theta power, a reduced beta-band activity, an increased alpha activity, a decreased coherence in theta, alpha and beta-band were related to a favorable outcome.

EEG is promising as a method to create a predictive biomarker for response to APs; further investigations are warranted to harmonize and generalize the contradictory results of reviewed studies.

None Declared