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Alterations of Gray and White Matter Networks in Patients with Obsessive-Compulsive Disorder: A Multimodal Fusion Analysis of Structural MRI and DTI Using mCCA+jICA

机译:强迫症患者的灰色和白色物质网络变化:使用mCCA + jICA对结构MRI和DTI进行多峰融合分析

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摘要

Many of previous neuroimaging studies on neuronal structures in patients with obsessive-compulsive disorder (OCD) used univariate statistical tests on unimodal imaging measurements. Although the univariate methods revealed important aberrance of local morphometry in OCD patients, the covariance structure of the anatomical alterations remains unclear. Motivated by recent developments of multivariate techniques in the neuroimaging field, we applied a fusion method called “mCCA+jICA” on multimodal structural data of T1-weighted magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) of 30 unmedicated patients with OCD and 34 healthy controls. Amongst six highly correlated multimodal networks (p < 0.0001), we found significant alterations of the interrelated gray and white matter networks over occipital and parietal cortices, frontal interhemispheric connections and cerebella (False Discovery Rate q ≤ 0.05). In addition, we found white matter networks around basal ganglia that correlated with a subdimension of OC symptoms, namely ‘harm/checking’ (q ≤ 0.05). The present study not only agrees with the previous unimodal findings of OCD, but also quantifies the association of the altered networks across imaging modalities.
机译:先前关于强迫症(OCD)患者神经元结构的许多神经影像学研究都采用单变量统计检验进行单峰成像测量。尽管单变量方法显示了强迫症患者局部形态测量的重要异常,但解剖变化的协方差结构仍不清楚。受神经影像学领域多元技术最新发展的推动,我们对30例未经药物治疗的强迫症患者的T1加权磁共振成像(MRI)和扩散张量成像(DTI)的多峰结构数据应用了一种名为“ mCCA + jICA”的融合方法和34个健康对照。在六个高度相关的多峰网络中(p <0.0001),我们发现枕叶和顶叶皮层,额叶半球间连接和小脑之间相关的灰色和白色物质网络发生了显着变化(错误发现率q≤0.05)。此外,我们发现基底神经节周围的白质网络与OC症状的次维度相关,即“伤害/检查”(q≤0.05)。本研究不仅同意OCD以前的单峰发现,而且还量化了跨成像模态的变化网络的关联。

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