Shaoqiang Han1,2,3,4,5,6,7,8, Yinhuan Xu1,2,3,4,5,6,7,8, Hui-Rong Guo9, Keke Fang10, Yarui Wei1,2,3,4,5,6,7,8, Liang Liu1,2,3,4,5,6,7,8, Junying Cheng1,2,3,4,5,6,7,8, Yong Zhang1,2,3,4,5,6,7,8, Jingliang Cheng1,2,3,4,5,6,7,8. 1. Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 2. Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 3. Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 4. Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 5. Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 6. Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 7. Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 8. Henan Engineering Research Center of Brain Function Development and Application, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 9. Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, China. 10. Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450003, China.
Abstract
BACKGROUND: The high heterogeneity of obsessive-compulsive disorder (OCD) denies attempts of traditional case-control studies to derive neuroimaging biomarkers indicative of precision diagnosis and treatment. METHODS: To handle the heterogeneity, we uncovered subject-level altered structural covariance by adopting individualized differential structural covariance network (IDSCN) analysis. The IDSCN measures how structural covariance edges in a patient deviated from those in matched healthy controls (HCs) yielding subject-level differential edges. One hundred patients with OCD and 106 HCs were recruited and whose T1-weighted anatomical images were acquired. We obtained individualized differential edges and then clustered patients into subtypes based on these edges. RESULTS: Patients presented tremendously low overlapped altered edges while frequently shared altered edges within subcortical-cerebellum network. Two robust neuroanatomical subtypes were identified. Subtype 1 presented distributed altered edges while subtype 2 presented decreased edges between default mode network and motor network compared with HCs. Altered edges in subtype 1 predicted the total Yale-Brown Obsessive Compulsive Scale score while that in subtype 2 could not. CONCLUSIONS: We depict individualized structural covariance aberrance and identify that altered connections within subcortical-cerebellum network are shared by most patients with OCD. These 2 subtypes provide new insights into taxonomy and facilitate potential clues to precision diagnosis and treatment of OCD.
BACKGROUND: The high heterogeneity of obsessive-compulsive disorder (OCD) denies attempts of traditional case-control studies to derive neuroimaging biomarkers indicative of precision diagnosis and treatment. METHODS: To handle the heterogeneity, we uncovered subject-level altered structural covariance by adopting individualized differential structural covariance network (IDSCN) analysis. The IDSCN measures how structural covariance edges in a patient deviated from those in matched healthy controls (HCs) yielding subject-level differential edges. One hundred patients with OCD and 106 HCs were recruited and whose T1-weighted anatomical images were acquired. We obtained individualized differential edges and then clustered patients into subtypes based on these edges. RESULTS: Patients presented tremendously low overlapped altered edges while frequently shared altered edges within subcortical-cerebellum network. Two robust neuroanatomical subtypes were identified. Subtype 1 presented distributed altered edges while subtype 2 presented decreased edges between default mode network and motor network compared with HCs. Altered edges in subtype 1 predicted the total Yale-Brown Obsessive Compulsive Scale score while that in subtype 2 could not. CONCLUSIONS: We depict individualized structural covariance aberrance and identify that altered connections within subcortical-cerebellum network are shared by most patients with OCD. These 2 subtypes provide new insights into taxonomy and facilitate potential clues to precision diagnosis and treatment of OCD.