Schizophrenia (Jun 2025)

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

  • 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,
  • 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,
  • Jesus Perez,
  • Diana O. Perkins,
  • 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,
  • Accelerating Medicines Partnership® Schizophrenia Program,
  • Gregory A. Light

DOI
https://doi.org/10.1038/s41537-025-00622-0
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 18

Abstract

Read online

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: https://vimeo.com/1066564687 .