scholarly journals 873 – Cognitive Behavioral Therapy-Induced Changes in Resting State Functional Connectivity are Associated with Changes in Fecal Microbiota in IBS Patient

2019 ◽  
Vol 156 (6) ◽  
pp. S-196
Author(s):  
Kan Gao ◽  
Jonathan P. Jacobs ◽  
Jeffrey M. Lackner ◽  
Arpana Gupta ◽  
Ravi Bhatt ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Behavioral Therapy ◽  
Resting State ◽  
Behavioral Therapy ◽  
Fecal Microbiota ◽  
Cognitive Behavioral ◽  
Resting State Functional Connectivity ◽  
Induced Changes

scholarly journals Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive–compulsive disorder

2018 ◽  
Vol 115 (9) ◽  
pp. 2222-2227 ◽  
Author(s):  
Nicco Reggente ◽  
Teena D. Moody ◽  
Francesca Morfini ◽  
Courtney Sheen ◽  
Jesse Rissman ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Behavioral Therapy ◽  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Resting State Functional Connectivity ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Before And After

Cognitive behavioral therapy (CBT) is an effective treatment for many with obsessive–compulsive disorder (OCD). However, response varies considerably among individuals. Attaining a means to predict an individual’s potential response would permit clinicians to more prudently allocate resources for this often stressful and time-consuming treatment. We collected resting-state functional magnetic resonance imaging from adults with OCD before and after 4 weeks of intensive daily CBT. We leveraged machine learning with cross-validation to assess the power of functional connectivity (FC) patterns to predict individual posttreatment OCD symptom severity. Pretreatment FC patterns within the default mode network and visual network significantly predicted posttreatment OCD severity, explaining up to 67% of the variance. These networks were stronger predictors than pretreatment clinical scores. Results have clinical implications for developing personalized medicine approaches to identifying individual OCD patients who will maximally benefit from intensive CBT.

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