Gemelli Zachary T, Ayazi Maryam, Lee Han-Joo
Department of Psychology, University of Wisconsin Milwaukee, USA.
Department of Psychology, University of Wisconsin Milwaukee, USA.
J Psychiatr Res. 2025 Jan;181:579-585. doi: 10.1016/j.jpsychires.2024.12.024. Epub 2024 Dec 23.
Obsessive-Compulsive Disorder (OCD) is a heterogenous mental health condition that causes significant impairment and is often associated with poor treatment outcomes. The aim of the current study was to examine the association between electroencephalographic (EEG) oscillatory power during inhibitory task performance and obsessive-compulsive symptoms (OCS). OCS was assessed using the well-established the Autogenous-Reactive Obsession (AO-RO) model as the main framework to address its heterogeneous clinical manifestations. The severity of AO and RO, as primary outcome measures, was indexed using the Revised Obsessive Intrusion Inventory (ROII). Cognitive- and behavioral inhibition (CI; BI) tasks were administered while EEG data were recorded from an analogue sample of 63 undergraduate students with OCS assessed along a dimensional spectrum. Oscillatory power was computed from frontal-central electrodes Fz and Cz for theta and beta frequency bands, using event-related spectral perturbations (ERSPs), which were entered into two hierarchical linear regression models to predict the severity of AO and RO, respectively, while controlling for covariates (i.e., sex, age, ethnicity, anxiety, depression, worry, and behavioral task performance). Theta power during CI (Theta-CI) was the only significant EEG predictor of AO severity, whereas beta power during BI (Beta-BI) was the only significant EEG predictor of RO severity. These results suggest that AO severity is primarily associated with an overactive neural correlate of cognitive control, whereas RO severity is primarily associated with an overactive neural correlate of behavioral cancellation. These results agree with previous literature suggesting overactive band power representing the dysfunction within OCD. Theta-CI and Beta-BI may serve as potential biomarkers differentially associated with AO and RO among undiagnosed individuals displaying varying levels of OCS, which warrants further investigation.
强迫症（OCD）是一种异质性心理健康状况，会导致严重损害，且往往与不良治疗结果相关。本研究的目的是检查抑制任务执行期间的脑电图（EEG）振荡功率与强迫症状（OCS）之间的关联。OCS使用成熟的自发反应性强迫观念（AO-RO）模型进行评估，以此作为解决其异质性临床表现的主要框架。作为主要结局指标，AO和RO的严重程度使用修订后的强迫侵入量表（ROII）进行量化。对63名患有OCS的本科生进行维度谱评估，在他们执行认知和行为抑制（CI；BI）任务时记录EEG数据。使用事件相关频谱扰动（ERSP）从额中央电极Fz和Cz计算θ和β频段的振荡功率，并将其分别纳入两个层次线性回归模型，以预测AO和RO的严重程度，同时控制协变量（即性别、年龄、种族、焦虑、抑郁、担忧和行为任务表现）。CI期间的θ功率（Theta-CI）是AO严重程度的唯一显著EEG预测因子，而BI期间的β功率（Beta-BI）是RO严重程度的唯一显著EEG预测因子。这些结果表明，AO严重程度主要与认知控制的神经相关性过度活跃有关，而RO严重程度主要与行为抵消的神经相关性过度活跃有关。这些结果与之前的文献一致，表明OCD中功能失调的频段功率过度活跃。Theta-CI和Beta-BI可能作为潜在的生物标志物，在表现出不同程度OCS的未确诊个体中与AO和RO存在差异关联，这值得进一步研究。
