Wei Liu1, Minghui Hua2, Jun Qin1, Qiuju Tang1, Yunyi Han1, Hongjun Tian3, Daxiang Lian3, Zhengqing Zhang4, Wenqiang Wang4, Chunxiang Wang5, Ce Chen6, Deguo Jiang6, Gongying Li7, Xiaodong Lin6, Chuanjun Zhuo8,9. 1. Department of Psychiatry, Harbin Medical University Affiliated First Hospital, Harbin, 150036, China. 2. School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, 300074, China. 3. Psychiatric-Neuroimaging-Genetics-Comorbidity Laboratory (PNGC-Lab), Tianjin Mental Health Centre, Tianjin Anding Hospital China, Tianjin, 300222, China. 4. Co-collaboration Laboratory of China and Canada, Xiamen Xianyue Hospital and University of Alberta, Xiamen, 361000, China. 5. Department of Medical Imaging Center, Tjianjin Children Hospital, Tianjin, 300305, China. 6. Psychiatric-Neuroimaging-Genetics Laboratory (PNG-Lab), Wenzhou Seventh people's Hospital, Wenzhou, 325000, Zhejiang Province, China. 7. School of Mental Health, Department of Psychiatry, Jining Medical University, Jining, 272119, Shandong Province, China. 8. School of Mental Health, Department of Psychiatry, Collaboration of Psychiatric Neuro-Imaging Center, Jining Medical University, Jining, 272191, Shandong Province, China. chuanjunzhuotjmh@163.com. 9. Psychiatric-Neuroimaging-Genetics-Comorbidity Laboratory, Tianjin Mental Health Centre, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, China, Tianjin, 300222, China. chuanjunzhuotjmh@163.com.
Abstract
OBJECTIVE: To date, a systematic characterization of abnormalities in resting-state effective connectivity (rsEC) in obsessive-compulsive disorder (OCD) is lacking. The present study aimed to systematically characterize whole-brain rsEC in OCD patients as compared to healthy controls. METHODS: Using resting-state fMRI data of 50 unmedicated patients with OCD and 50 healthy participants, we constructed whole-brain rsEC networks using Granger causality analysis followed by univariate and multivariate comparisons between patients and controls. Similar analyses were performed for resting-state functional connectivity (rsFC) networks to examine how rsFC and rsEC differentially capture abnormal brain connectivity in OCD. RESULTS: Univariate comparisons identified 10 rsEC networks that were significantly disrupted in patients, and which were mainly associated with frontal-parietal cortex, basal ganglia, and cerebellum. Conversely, abnormal rsFC networks were widely distributed throughout the whole brain. Multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls using combined whole-brain rsEC and rsFC. CONCLUSIONS: The results of the present study suggest disrupted communication of information from frontal-parietal cortex to basal ganglia and cerebellum in OCD patients. Using combined whole-brain rsEC and rsFC, multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls. The alterations observed in OCD patients could aid in identifying treatment mechanisms for OCD.
OBJECTIVE: To date, a systematic characterization of abnormalities in resting-state effective connectivity (rsEC) in obsessive-compulsive disorder (OCD) is lacking. The present study aimed to systematically characterize whole-brain rsEC in OCDpatients as compared to healthy controls. METHODS: Using resting-state fMRI data of 50 unmedicated patients with OCD and 50 healthy participants, we constructed whole-brain rsEC networks using Granger causality analysis followed by univariate and multivariate comparisons between patients and controls. Similar analyses were performed for resting-state functional connectivity (rsFC) networks to examine how rsFC and rsEC differentially capture abnormal brain connectivity in OCD. RESULTS: Univariate comparisons identified 10 rsEC networks that were significantly disrupted in patients, and which were mainly associated with frontal-parietal cortex, basal ganglia, and cerebellum. Conversely, abnormal rsFC networks were widely distributed throughout the whole brain. Multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls using combined whole-brain rsEC and rsFC. CONCLUSIONS: The results of the present study suggest disrupted communication of information from frontal-parietal cortex to basal ganglia and cerebellum in OCDpatients. Using combined whole-brain rsEC and rsFC, multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls. The alterations observed in OCDpatients could aid in identifying treatment mechanisms for OCD.
Authors: Oscar F Gonçalves; Sonia Sousa; Sandra Carvalho; Jorge Leite; Ana Ganho; Ana Fernandes-Gonçalves; Fernando Pocinho; Angel Carracedo; Adriana Sampaio Journal: Psicothema Date: 2017-02
Authors: Hyo Jung De Smet; Hanne Baillieux; Peter P De Deyn; Peter Mariën; Philippe Paquier Journal: Folia Phoniatr Logop Date: 2007 Impact factor: 0.849