Effectiveness of cognitive-coping therapy and alteration of resting-state brain function in obsessive-compulsive disorder

2017 ◽  
Vol 208 ◽  
pp. 184-190 ◽  
Author(s):  
Hong-Zeng Zhao ◽  
Chang-Hong Wang ◽  
Zhong-Zhan Gao ◽  
Jian-Dong Ma ◽  
Ping Huang ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Brain Function ◽  
Cognitive Coping ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

Alterations in resting-state local functional connectivity in obsessive-compulsive disorder

2019 ◽  
Vol 245 ◽  
pp. 113-119 ◽  
Author(s):  
HuiHui Hao ◽  
Chuang Chen ◽  
WeiBing Mao ◽  
Wei Xia ◽  
ZhongQuan Yi ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Local Functional

Functional connectivity in fronto-subcortical circuitry during the resting state in obsessive-compulsive disorder

2010 ◽  
Vol 474 (3) ◽  
pp. 158-162 ◽  
Author(s):  
Joon Hwan Jang ◽  
Jae-Hun Kim ◽  
Wi Hoon Jung ◽  
Jung-Seok Choi ◽  
Myung Hun Jung ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

Reduced Interhemispheric Resting-State Functional Homotopy in Obsessive-Compulsive Disorder

2018 ◽  
Vol 08 (03) ◽  
Author(s):  
Yu Hua Wang ◽  
Yun Hui Chen ◽  
Su Fang Li ◽  
Dan Lv ◽  
A Meng Zhao ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

scholarly journals Defining data-driven subgroups of obsessive–compulsive disorder with different treatment responses based on resting-state functional connectivity

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Seoyeon Kwak ◽  
Minah Kim ◽  
Taekwan Kim ◽  
Yoobin Kwak ◽  
Sanghoon Oh ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Treatment Response ◽  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Predictive Biomarkers ◽  
Support Vector ◽  
Resting State Functional Connectivity ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Treatment Responses

Abstract Characterization of obsessive–compulsive disorder (OCD), like other psychiatric disorders, suffers from heterogeneities in its symptoms and therapeutic responses, and identification of more homogeneous subgroups may help to resolve the heterogeneity. We aimed to identify the OCD subgroups based on resting-state functional connectivity (rsFC) and to explore their differences in treatment responses via a multivariate approach. From the resting-state functional MRI data of 107 medication-free OCD patients and 110 healthy controls (HCs), we selected rsFC features, which discriminated OCD patients from HCs via support vector machine (SVM) analyses. With the selected brain features, we subdivided OCD patients into subgroups using hierarchical clustering analyses. We identified 35 rsFC features that achieved a high sensitivity (82.74%) and specificity (76.29%) in SVM analyses. The OCD patients were subdivided into two subgroups, which did not show significant differences in their demographic and clinical backgrounds. However, one of the OCD subgroups demonstrated more impaired rsFC that was involved either within the default mode network (DMN) or between DMN brain regions and other network regions. This subgroup also showed both lower improvements in symptom severity in the 16-week follow-up visit and lower responder percentage than the other subgroup. Our results highlight that not only abnormalities within the DMN but also aberrant rsFC between the DMN and other networks may contribute to the treatment response and support the importance of these neurobiological alterations in OCD patients. We suggest that abnormalities in these connectivity may play predictive biomarkers of treatment response, and aid to build more optimal treatment strategies.

Sign in / Sign up

Export Citation Format

Share Document