加速药物伙伴关系®精神分裂症项目的脑电图方案:措施的可靠性和稳定性。

IF 4.1 Q2 PSYCHIATRY
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, Gregory A Light
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引用次数: 0

摘要

临床高危精神病(CHR)个体的临床结果多变,转换率低,限制了新型和个性化治疗的发展。此外,考虑到抗精神病药物的风险,需要对CHR患者使用更安全有效的药物。加速药物合作伙伴®精神分裂症(AMP®SCZ)计划的推出就是为了满足这一需求。基于以往的CHR和精神分裂症研究,AMP SCZ评估了基于脑电图(EEG)的事件相关电位(ERP)、事件相关振荡(ERO)和静息脑电图功率谱密度(PSD)测量,包括错配负性(MMN)、听觉和视觉P300到目标(P3b)和新颖(P3a)刺激、40 hz听觉稳态响应和静息脑电图PSD。在此,在AMP SCZ脑电图测量的中期分析中,我们评估了CHR (n = 654)和社区对照(CON;N = 87)参与者。信度以可推广性(G)系数计算,并使用配对t检验评估会话期间的变化。两组的g系数均为良至优(CHR:均值= 0.72,极差= 0.49-0.85;CON:平均值= 0.71,范围= 0.44-0.89)。显著测量震级(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures.

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.

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