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Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder

文献类型：期刊论文

作者Yang, Xiang-Yun4,5,6; Liu, Rui4,5,6; Luo, Jia4,5,6; Huang, Fang-Fang4,5,6; Wang, Peng-Chong4,5,6; Yang, Xiao-Jie4,5,6; Wu, Hang4,5,6; Zhou, Yuan1,2,3; Li, Zhan-Jiang4,5,6
刊名BRAIN SCIENCES
出版日期2022-07-01
卷号12期号:7页码:15
关键词obsessive-compulsive disorder cognitive behavioral therapy cortical structural feature prediction machine learning support vector regression
DOI10.3390/brainsci12070921
通讯作者Zhou, Yuan(zhouyuan@psych.ac.cn) ; Li, Zhan-Jiang(lizhj8@ccmu.edu.cn)
英文摘要Although cognitive behavioral therapy (CBT) is effective for patients with obsessive-compulsive disorder (OCD), 40% of OCD patients show a poor response to CBT. This study aimed to identify the cortical structural factors that predict CBT outcomes in OCD patients. A total of 56 patients with OCD received baseline structural MRI (sMRI) scanning and 14 individual CBT sessions. The linear support vector regression (SVR) models were used to identify the predictive performance of sMRI indices, including gray matter volume, cortical thickness, sulcal depth, and gyrification value. The patients' OC symptoms decreased significantly after CBT intervention (p < 0.001). We found the model with the comprehensive variables exhibited better performance than the models with single structural indices (MAE = 0.14, MSE = 0.03, R-2 = 0.36), showing a significant correlation between the true value and the predicted value (r = 0.63, p < 0.001). The results indicated that a model integrating four cortical structural features can accurately predict the effectiveness of CBT for OCD. Future models incorporating other brain indicators, including brain functional indicators, EEG indicators, neurotransmitters, etc., which might be more accurate for predicting the effectiveness of CBT for OCD, are needed.
收录类别SCI
WOS关键词CEREBRAL-CORTEX ; ADULT PATIENTS ; THICKNESS ; LATERALIZATION ; ABNORMALITIES ; ASYMMETRY ; VOLUME
资助项目National Natural Science Foundation of China[81271493] ; Beijing Natural Science Foundation Grant[7122082]
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000832197300001
出版者MDPI
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation Grant
源URL[http://ir.psych.ac.cn/handle/311026/43018]  
专题心理研究所_中国科学院行为科学重点实验室
通讯作者Zhou, Yuan; Li, Zhan-Jiang
作者单位1.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Magnet Resonance Imaging Res Ctr, Inst Psychol, Beijing 100049, Peoples R China
3.Chinese Acad Sci, CAS Key Lab Behav Sci, Beijing 100049, Peoples R China
4.Beijing Anding Hosp, Beijing Key Lab Mental Disorders, Beijing 100088, Peoples R China
5.Beijing Anding Hosp, Natl Clin Res Ctr Mental Disorders, Beijing 100088, Peoples R China
6.Capital Med Univ, Beijing Anding Hosp, Dept Clin Psychol, Beijing 100088, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Xiang-Yun,Liu, Rui,Luo, Jia,et al. Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder[J]. BRAIN SCIENCES,2022,12(7):15.
APA Yang, Xiang-Yun.,Liu, Rui.,Luo, Jia.,Huang, Fang-Fang.,Wang, Peng-Chong.,...&Li, Zhan-Jiang.(2022).Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder.BRAIN SCIENCES,12(7),15.
MLA Yang, Xiang-Yun,et al."Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder".BRAIN SCIENCES 12.7(2022):15.

入库方式： OAI收割

来源：心理研究所

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