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 |
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| Authors: | Seung-Goo Kim Wi Hoon Jung Sung Nyun Kim Joon Hwan Jang Jun Soo Kwon |
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| Affiliation: | 1. Institute of Human Behavioral Medicine, SNU-MRC, Seoul National University Hospital, Seoul, South Korea.; 2. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; 3. Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea.; 4. Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.; Bellvitge Biomedical Research Institute-IDIBELL, SPAIN, |
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| Abstract: | 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. |
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