Evidence map›Paper›PMID 35884728›Full record

ArticleBrain sciences2022

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

Xiang-Yun Yang, Rui Liu, Jia Luo, Fang-Fang Huang, Peng-Chong Wang, Xiao-Jie Yang, Hang Wu, Yuan Zhou, Zhan-Jiang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiang-Yun YangDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Rui LiuDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.ORCID 0000-0001-7613-1144
Jia LuoDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Fang-Fang HuangDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Peng-Chong WangDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Xiao-Jie YangDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Hang WuDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Yuan ZhouCAS Key Laboratory of Behavioral Science & Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100049, China.
Zhan-Jiang LiDepartment of Clinical Psychology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.

Funding

Beijing Natural Science Foundation Grant 7122082National Natural Science Foundation of China Grants 81271493
6 · The paper itself

Abstract

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, R2 = 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.

Indexed as

cognitive behavioral therapycortical structural featuremachine learningobsessive-compulsive disorderpredictionsupport vector regression

Identifiers

PMID35884728
PMCPMC9322050

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.