精神疾病生物型的内在神经活动差异:来自双相-精神分裂症网络中间表型(B-SNIP)联盟的发现

Q2 Medicine
Olivia Thomas , David Parker , Rebekah Trotti , Jennifer McDowell , Elliot Gershon , John Sweeney , Matcheri S. Keshavan , Sarah K. Keedy , Elena Ivleva , Carol A. Tamminga , Godfrey D. Pearlson , Brett A. Clementz
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引用次数: 11

摘要

双相-精神分裂症中间表型网络(B-SNIP)提出了“生物型”,即具有神经认知同源性的精神病病例亚群。与刺激加工无关的神经活动(非特异性或内在活动)对生物型的分化很重要,生物型2具有高非特异性神经活动的特征。内在活性(IA)的精确估计没有包括在最初的生物型表征中。本报告假设内在活动是精神病生物型的关键区分特征。方法在B-SNIP位点招募参与者,包括精神病(精神分裂症、分裂情感障碍、双相I型障碍)先证者、其一级生物学亲属和健康人(N = 1338)。先证者也按精神病生物类型分组。在听觉配对刺激任务中,10秒的刺激间隔被用来量化64个EEG传感器的内在活动。在经验推导的频带上,对单次试验功率和连通性测量进行了量化。采用多变量判别和相关分析,通过常规诊断和生物型来总结有效和最大程度地区分群体的变量,并确定它们与临床和社会功能的关系。结果在功率频段(δ / θ、α、β、γ)和α波段连通性估计上,生物型1相对于健康人表现出低IA,而生物型2表现出高IA。DSM组与健康人在任何IA测量上没有差异。精神病生物型,而不是DSM综合征,是通过内在活动来区分的;生物型2的独特特征是这一措施的强调。神经生物学定义的精神病亚群可能有助于在翻译模型中使用内在活动,旨在开发有效治疗神经调节中精神病相关偏差的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intrinsic neural activity differences in psychosis biotypes: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium

Intro

The Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) proposed “Biotypes,” subgroups of psychosis cases with neuro-cognitive homology. Neural activity unbound to stimulus processing (nonspecific or intrinsic activity) was important for differentiating Biotypes, with Biotype-2 characterized by high nonspecific neural activity. A precise estimate of intrinsic activity (IA) was not included in the initial Biotypes characterization. This report hypothesizes intrinsic activity is a critical differentiating feature for psychosis Biotypes.

Method

Participants were recruited at B-SNIP sites and included probands with psychosis (schizophrenia, schizoaffective disorder, bipolar I disorder), their first-degree biological relatives, and healthy persons (N = 1338). Probands were also sub-grouped by psychosis Biotype. 10-sec inter-stimulus intervals during an auditory paired-stimuli task were used to quantify intrinsic activity from 64 EEG sensors. Single-trial power and connectivity measures at empirically derived frequency bands were quantified. Multivariate discriminant and correlational analyses were used to summarize variables that efficiently and maximally differentiated groups by conventional diagnoses and Biotypes and to determine their relationship to clinical and social functioning.

Results

Biotype-1 consistently exhibited low IA, and Biotype 2 exhibited high IA relative to healthy persons across power frequency bands (delta/theta, alpha, beta, gamma) and alpha band connectivity estimates. DSM groups did not differ from healthy persons on any IA measure.

Discussion

Psychosis Biotypes, but not DSM syndromes, were differentiated by intrinsic activity; Biotype-2 was uniquely characterized by an accentuation of this measure. Neurobiologically defined psychosis subgroups may facilitate the use of intrinsic activity in translation models aimed at developing effective treatments for psychosis-relevant deviations in neural modulation.

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来源期刊
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
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