Yacou Mario A, Chowdury Asadur, Easter Philip, Hanna Gregory L, Rosenberg David R, Diwadkar Vaibhav A
Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States.
Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Front Psychiatry. 2022 Aug 10;13:869106. doi: 10.3389/fpsyt.2022.869106. eCollection 2022.
Abnormal function of the thalamo-cortical relay is considered a hallmark of obsessive-compulsive disorder (OCD) and aberrant network interactions may underpin many of the clinical and cognitive symptoms that characterize the disorder. Several statistical approaches have been applied to fMRI data to support the general loss of thalamo-cortical connectivity in OCD. However, (a) few studies have assessed the contextual constraints under which abnormal network interactions arise or (b) have used methods of connectivity to understand abnormal network interactions. Effective connectivity is a particularly valuable method as it describes the putative influences that brain regions exert over each other, as opposed to the largely statistical consistencies captured in functional connectivity techniques. Here, using dynamic causal modeling (DCM), we evaluated how induced inter-group differences (HC ≠ OCD) in effective connectivity within a motivated thalamo-cortical network. Of interest was whether these effects were observed on the thalamo-cortical relay, essential for the sensory innervation of the cortex. fMRI time series data from sixty-two participants (OCD, 30; HC, 32) collected using an established sustained attention task were submitted to a space of 162 competing models. Across the space, models distinguished between competing hypotheses of thalamo-cortical interactions. Bayesian model selection (BMS) identified marginally differing likely generative model architectures in OCD and HC groups. Bayesian model averaging (BMA), was used to weight connectivity parameter estimates across , with each parameter weighted by each model's posterior probability, thus providing more stable estimates of effective connectivity. Inferential statistical analyses of estimated parameters revealed two principal results: (1) Significantly reduced connectivity of the V1 → SPC pathway in OCD, suggested connective weakness in the early constituents of the dorsal visual pathway; (2) More pertinent with the discovery possibilities afforded by DCM, sustained attention in OCD patients induced significantly reduced modulation of the ascending relay from the thalamus to the prefrontal cortex. These results form an important complement to our understanding of the contextual bases of thalamo-cortical network deficits in OCD, emphasizing vulnerability of the ascending relay.
丘脑 - 皮质中继功能异常被认为是强迫症(OCD)的一个标志,异常的网络交互可能是该疾病许多临床和认知症状的基础。几种统计方法已应用于功能磁共振成像(fMRI)数据,以支持强迫症中丘脑 - 皮质连接性的普遍丧失。然而,(a)很少有研究评估异常网络交互出现的背景限制,或者(b)使用连接性方法来理解异常网络交互。有效连接性是一种特别有价值的方法,因为它描述了脑区之间假定的相互影响,这与功能连接技术中主要捕获的统计一致性形成对比。在这里,我们使用动态因果模型(DCM)评估了在一个有动机的丘脑 - 皮质网络中有效连接性的组间差异(健康对照≠强迫症)是如何产生的。我们感兴趣的是这些效应是否在对皮质感觉神经支配至关重要的丘脑 - 皮质中继上被观察到。使用既定的持续注意力任务收集的来自62名参与者(强迫症患者30名;健康对照32名)的fMRI时间序列数据被提交到162个竞争模型的空间中。在整个空间中,模型区分了丘脑 - 皮质相互作用的竞争假设。贝叶斯模型选择(BMS)确定了强迫症组和健康对照组中略有不同的可能生成模型架构。贝叶斯模型平均(BMA)用于对整个空间的连接性参数估计进行加权,每个参数由每个模型的后验概率加权,从而提供更稳定的有效连接性估计。对估计参数的推断统计分析揭示了两个主要结果:(1)强迫症患者中V1→SPC通路的连接性显著降低,表明背侧视觉通路早期成分的连接性减弱;(2)与DCM提供的发现可能性更相关的是,强迫症患者的持续注意力导致丘脑到前额叶皮质的上行中继调制显著降低。这些结果对我们理解强迫症中丘脑 - 皮质网络缺陷的背景基础形成了重要补充,强调了上行中继的脆弱性。