Evidence map›Paper›PMID 40302007›Full record

ArticleBMC psychology2025

Cognitive-behavioral therapy to normalize social learning for patients with major depressive disorders: study protocol for a single-arm clinical trial.

Yuening Jin, Si Zu, Pengchong Wang, Fangrui Sheng, Xue Wang, Yun Wang, Qun Chen, Jie Zhong, Fang Yan, Jia Zhou and 2 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC psychology, 2025. 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

12 authors.

Yuening JinState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
Si ZuDepartment of Psychiatry, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Pengchong WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Fangrui ShengThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Xue WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Yun WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Qun ChenThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Jie ZhongThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Fang YanThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Jia ZhouThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Zhanjiang LiThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Yuan ZhouState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China. zhouyuan@psych.ac.cn.

Funding

National Natural Science Foundation of China 82171535STI2030-Major Projects 2021ZD0200600
6 · The paper itself

Abstract

backgroundThe current study aims to explore the efficacy of cognitive behavioral therapy (CBT) in normalizing social learning capabilities and its underlying neural processes among patients with MDD, in terms of enhancing learning towards positive social feedback, and reducing excessive learning towards negative social feedback. This study also explores the potential for learning impairments in social contexts as a biomarker to predict the effectiveness of CBT.

methodsIn a single-centre, single-arm, open-label trial, 60 outpatients with MDD will undergo 12 sessions of CBT in three months. Data collection of patients will be administered at baseline and at the endpoint of the treatment. Additionally, 60 heathy controls will be recruited as a comparative group to assess deviations from the normal functions in the patients with MDD before and after CBT. Data collection of the HC group will be administered at baseline. Data collection of the two groups comprises of demographic information, clinical assessments, psychological assessments, and behavioral experiments (i.e. the Door Game and the Trust Game) in conjuction with task-based function magnetic resonance imaging (fMRI) scanning. Data analysis comprises of an estimation of social learning capabilities by computational modeling, and identification of baseline abnormalities, treatment effects and endpoint abnormalities on social learning capabilities and its neural activities. DISCUSSION: This trial aims to assess the efficacy of CBT in normalizing social learning capabilities among patients with MDD by leveraging high ecological validity paradigms and computational modeling. This trial also contributes to understanding psychosocial biomarkers of CBT treatment effectiveness in reducing depressive symptoms.

trial registrationChiCTR2400094841 ( www.chictr.org.cn ; registration date: 12/29/2024) (retrospectively registered).

Indexed as

Cognitive Behavioral TherapyMajor Depressive DisorderSocial LearningAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTreatment OutcomeCognitive behavioral therapyComputational modelingMajor depressive disordersSocial learningTrust game

Identifiers

PMID40302007
PMCPMC12042326

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.