San Francisco Veterans Affairs Health Care System, San Francisco, California.
Department of Psychiatry & Behavioral Sciences, University of California, San Francisco.
JAMA Psychiatry. 2022 Aug 1;79(8):780-789. doi: 10.1001/jamapsychiatry.2022.1417.
Although clinical criteria for identifying youth at risk for psychosis have been validated, they are not sufficiently accurate for predicting outcomes to inform major treatment decisions. The identification of biomarkers may improve outcome prediction among individuals at clinical high risk for psychosis (CHR-P).
To examine whether mismatch negativity (MMN) event-related potential amplitude, which is deficient in schizophrenia, is reduced in young people with the CHR-P syndrome and associated with outcomes, accounting for effects of antipsychotic medication use.
DESIGN, SETTING, AND PARTICIPANTS: MMN data were collected as part of the multisite case-control North American Prodrome Longitudinal Study (NAPLS-2) from 8 university-based outpatient research programs. Baseline MMN data were collected from June 2009 through April 2013. Clinical outcomes were assessed throughout 24 months. Participants were individuals with the CHR-P syndrome and healthy controls with MMN data. Participants with the CHR-P syndrome who developed psychosis (ie, converters) were compared with those who did not develop psychosis (ie, nonconverters) who were followed up for 24 months. Analysis took place between December 2019 and December 2021.
Electroencephalography was recorded during a passive auditory oddball paradigm. MMN elicited by duration-, pitch-, and duration + pitch double-deviant tones was measured.
The CHR-P group (n = 580; mean [SD] age, 19.24 [4.39] years) included 247 female individuals (42.6%) and the healthy control group (n = 241; mean age, 20.33 [4.74] years) included 114 female individuals (47.3%). In the CHR-P group, 450 (77.6%) were not taking antipsychotic medication at baseline. Baseline MMN amplitudes, irrespective of deviant type, were deficient in future CHR-P converters to psychosis (n = 77, unmedicated n = 54) compared with nonconverters (n = 238, unmedicated n = 190) in both the full sample (d = 0.27) and the unmedicated subsample (d = 0.33). In the full sample, baseline medication status interacted with group and deviant type indicating that double-deviant MMN, compared with single deviants, was reduced in unmedicated converters compared with nonconverters (d = 0.43). Further, within the unmedicated subsample, deficits in double-deviant MMN were most strongly associated with earlier conversion to psychosis (hazard ratio, 1.40 [95% CI, 1.03-1.90]; P = .03], which persisted over and above positive symptom severity.
This study found that MMN amplitude deficits were sensitive to future psychosis conversion among individuals at risk of CHR-P, particularly those not taking antipsychotic medication at baseline, although associations were modest. While MMN shows limited promise as a biomarker of psychosis onset on its own, it may contribute novel risk information to multivariate prediction algorithms and serve as a translational neurophysiological target for novel treatment development in a subgroup of at-risk individuals.
虽然用于识别有精神病风险的青年的临床标准已经过验证,但它们的准确性不足以预测结果,无法为重大治疗决策提供依据。生物标志物的识别可能会提高精神病高危(CHR-P)个体的预后预测。
检验精神分裂症患者中存在缺陷的失匹配负波(MMN)事件相关电位振幅是否在患有 CHR-P 综合征的年轻人中降低,并与结局相关,同时考虑抗精神病药物使用的影响。
设计、地点和参与者:MMN 数据是作为多中心病例对照北美前驱纵向研究(NAPLS-2)的一部分从 8 个基于大学的门诊研究计划中收集的。基线 MMN 数据于 2009 年 6 月至 2013 年 4 月收集。临床结果在 24 个月内进行评估。参与者为患有 CHR-P 综合征的个体和有 MMN 数据的健康对照者。与未发展为精神病(即非转化者)的患有 CHR-P 综合征且接受 24 个月随访的参与者相比,患有 CHR-P 综合征且发展为精神病(即转化者)的参与者被进行比较。分析于 2019 年 12 月至 2021 年 12 月之间进行。
在被动听觉异常探测范式中记录脑电图。通过测量由时长、音高和时长+音高双重偏离音引起的 MMN。
CHR-P 组(n=580;平均[标准差]年龄,19.24[4.39]岁)包括 247 名女性(42.6%),健康对照组(n=241;平均年龄,20.33[4.74]岁)包括 114 名女性(47.3%)。在 CHR-P 组中,450 名(77.6%)参与者在基线时未服用抗精神病药物。与非转化者(n=238,未用药者 n=190)相比,未来 CHR-P 向精神病转化的患者(n=77,未用药者 n=54)在整个样本(d=0.27)和未用药者亚组(d=0.33)中,无论偏差类型如何,基线 MMN 振幅均不足。在整个样本中,基线药物状态与组和偏差类型相互作用表明,与单偏差相比,未用药的转化者的双重偏差 MMN 减少(d=0.43)。此外,在未用药者亚组中,双重偏差 MMN 的缺陷与更早的精神病转化(危险比,1.40[95%CI,1.03-1.90];P=0.03)最相关,且超过阳性症状严重程度。
这项研究发现,MMN 振幅缺陷对 CHR-P 风险个体的精神病转化具有敏感性,尤其是那些基线时未服用抗精神病药物的个体,尽管关联程度较低。虽然 MMN 作为精神病发病的生物标志物本身的前景有限,但它可以为多变量预测算法提供新的风险信息,并作为亚组高危个体中新型治疗方法的转化神经生理学靶点。