Data from: 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

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.

既往针对强迫症（obsessive-compulsive disorder, OCD）患者神经元结构的神经影像学研究，多采用单模态影像测量的单变量统计检验方法。尽管此类单变量方法已揭示强迫症患者局部形态计量学的显著异常，但解剖学改变的协方差结构仍未明确。受神经影像学领域多变量分析技术近期进展的启发，本研究针对30名未服药强迫症患者与34名健康对照的T1加权磁共振成像（T1-weighted magnetic resonance imaging, MRI）及扩散张量成像（diffusion tensor imaging, DTI）多模态结构数据，应用名为“mCCA+jICA”的融合分析方法。在6个高度相关的多模态网络（p < 0.0001）中，我们发现枕叶、顶叶皮层的相关灰白质网络、额叶半球间连接以及小脑存在显著异常（错误发现率q ≤ 0.05）。此外，我们观察到基底节周围的白质网络与强迫症症状的一个子维度——“伤害/检查”（harm/checking）存在相关性（q ≤ 0.05）。本研究不仅验证了既往针对强迫症的单模态研究结果，还量化了不同影像模态间异常网络的关联程度。