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Investigating the Effects of Antipsychotics and Schizotypy on the N400 Using Event-Related Potentials and Semantic Categorization
Published on: November 19, 2014
The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability
Daniel H Mathalon1,2, Spero Nicholas3,4, Brian J Roach3,4
1Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA. daniel.mathalon@ucsf.edu.
Electroencephalography (EEG) measures show good reliability in individuals at clinical high risk for psychosis (CHR). These reliable EEG markers can predict outcomes and track illness progression in CHR studies.
Area of Science:
- Neuroscience
- Psychiatry
- Biomarkers
Background:
- Individuals at clinical high risk for psychosis (CHR) exhibit variable outcomes, necessitating personalized treatments.
- Current antipsychotic medications carry risks, highlighting the need for safer alternatives in CHR individuals.
- The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) Program aims to develop novel treatments for psychosis.
Purpose of the Study:
- To assess the test-retest reliability and stability of electroencephalography (EEG)-based measures in CHR participants.
- To evaluate EEG measures as potential biomarkers for clinical outcomes and illness progression in CHR.
- To determine the suitability of EEG measures for use in clinical trials for CHR individuals.
Main Methods:
- The study analyzed EEG data, including event-related potentials (ERPs) and resting EEG power spectral density (PSD), from CHR and control participants.
- Measures assessed included mismatch negativity (MMN), P300 (P3a and P3b), and 40-Hz auditory steady-state response.
- Reliability was quantified using Generalizability (G)-coefficients, and changes over time were analyzed with paired t-tests.
Main Results:
- EEG measures demonstrated good to excellent test-retest reliability in both CHR and control groups (G-coefficients generally > 0.70).
- Significant habituation effects (decreases in measure magnitudes) were observed over sessions and within sessions for several EEG measures.
- Despite habituation, the overall reliability of the EEG measures was robust.
Conclusions:
- EEG-based measures, including ERPs and PSD, exhibit sufficient test-retest reliability for use in CHR studies.
- These reliable EEG markers can serve as predictors of clinical outcomes and indicators of illness progression in CHR.
- The findings support the use of AMP SCZ EEG measures as outcome measures in controlled clinical trials for CHR individuals.
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