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  4. The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures
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The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures

Journal
Schizophrenia
ISSN
2754-6993
Date Issued
2025-06-06
Author(s)
Daniel H. Mathalon
Spero Nicholas
Brian J. Roach
Tashrif Billah
Suzie Lavoie
Thomas Whitford
Holly K. Hamilton
Lauren Addamo
Andrey Anohkin
Tristan Bekinschtein
Aysenil Belger
Kate Buccilli
John Cahill
Ricardo E. Carrión
Stefano Damiani
Ilvana Dzafic
Bjørn H. Ebdrup
Igor Izyurov
Johanna Jarcho
Raoul Jenni
Anna Jo
Sarah Kerins
Clarice Lee
Elizabeth A. Martin
Rocio Mayol-Troncoso
Margaret A. Niznikiewicz
Muhammad Parvaz
Oliver Pogarell
Julio Prieto-Montalvo
Rachel Rabin
David R. Roalf
Jack Rogers
Dean F. Salisbury
Riaz Shaik
Stewart Shankman
Michael C. Stevens
Yi Nam Suen
Nicole C. Swann
Xiaochen Tang
Judy L. Thompson
Ivy Tso
Julian Wenzel
Juan Helen Zhou
Jean Addington
Luis Alameda
Celso Arango
Nicholas J. K. Breitborde
Matthew R. Broome
Kristin S. Cadenhead
Monica E. Calkins
Rolando I. Castillo-Passi
Facultad de Psicología  
Eric Yu Hai Chen
Jimmy Choi
Philippe Conus
Cheryl M. Corcoran
Barbara A. Cornblatt
Covadonga M. Diaz-Caneja
Lauren M. Ellman
Paolo Fusar-Poli
Pablo A. Gaspar
Carla Gerber
Louise Birkedal Glenthøj
Leslie E. Horton
Christy Lai Ming Hui
Joseph Kambeitz
Lana Kambeitz-Ilankovic
Matcheri S. Keshavan
Minah Kim
Sung-Wan Kim
Nikolaos Koutsouleris
Jun Soo Kwon
Kerstin Langbein
Daniel Mamah
Vijay A. Mittal
Merete Nordentoft
Godfrey D. Pearlson
Diana O. Perkins
Jesus Perez
Albert R. Powers
Fred W. Sabb
Jason Schiffman
Jai L. Shah
Steven M. Silverstein
Stefan Smesny
William S. Stone
Gregory P. Strauss
Rachel Upthegrove
Swapna K. Verma
Jijun Wang
Daniel H. Wolf
Tianhong Zhang
Sylvain Bouix
Ofer Pasternak
Kang-Ik K. Cho
Michael J. Coleman
Dominic Dwyer
Angela Nunez
Zailyn Tamayo
Stephen J. Wood
Rene S. Kahn
John M. Kane
Patrick D. McGorry
Carrie E. Bearden
Barnaby Nelson
Scott W. Woods
Martha E. Shenton
Gregory A. Light
Type
journal-article
DOI
10.1038/s41537-025-00622-0
URL
https://hdl.handle.net/123456789/11297
URL Institutional Repository
https://hdl.handle.net/11447/10893
Abstract
Individuals at clinical high risk for psychosis (CHR) have variable clinical outcomes and low conversion rates, limiting development of novel and personalized treatments. Moreover, given risks of antipsychotic drugs, safer effective medications for CHR individuals are needed. The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) Program was launched to address this need. Based on past CHR and schizophrenia studies, AMP SCZ assessed electroencephalography (EEG)-based event-related potential (ERP), event-related oscillation (ERO), and resting EEG power spectral density (PSD) measures, including mismatch negativity (MMN), auditory and visual P300 to target (P3b) and novel (P3a) stimuli, 40-Hz auditory steady state response, and resting EEG PSD for traditional frequency bands (eyes open/closed). Here, in an interim analysis of AMP SCZ EEG measures, we assess test-retest reliability and stability over sessions (baseline, month-2 follow-up) in CHR (n = 654) and community control (CON; n = 87) participants. Reliability was calculated as Generalizability (G)-coefficients, and changes over session were assessed with paired t-tests. G-coefficients were generally good to excellent in both groups (CHR: mean = 0.72, range = 0.49–0.85; CON: mean = 0.71, range = 0.44–0.89). Measure magnitudes significantly (p < 0.001) decreased over session (MMN, auditory and visual target P3b, visual novel P3a, 40-Hz ASSR) and/or over runs within sessions (MMN, auditory/visual novel P3a and target P3b), consistent with habituation effects. Despite these small systematic habituation effects, test-retest reliabilities of the AMP SCZ EEG-based measures are sufficiently strong to support their use in CHR studies as potential predictors of clinical outcomes, markers of illness progression, and/or target engagement or secondary outcome measures in controlled clinical trials. Watch Dr Daniel H. Mathalon discuss their work and this article: <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink"
Cite this document
Mathalon, D. H., Nicholas, S., Roach, B. J., Billah, T., Lavoie, S., Whitford, T., Hamilton, H. K., Addamo, L., Anohkin, A., Bekinschtein, T., Belger, A., Buccilli, K., Cahill, J., Carrión, R. E., Damiani, S., Dzafic, I., Ebdrup, B. H., Izyurov, I., Jarcho, J., … Light, G. A. (2025). The electroencephalography protocol for the accelerating medicines partnership® schizophrenia program: Reliability and stability of measures. Schizophrenia, 11(1), 85. https://doi.org/10.1038/s41537-025-00622-0
Dataset(s)
Dataset - The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures  
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