Cognitive Behavioral Therapy Effects on Lateral Prefrontal Cortex Connectivity in High Ruminators

Poster No:

427 

Submission Type:

Abstract Submission 

Authors:

Chanyu WANG1, Qinyuan Chen1, Guorong Wu2, Paula Horczak1, Jonathan Remue1, Chris Baeken1

Institutions:

1Ghent University, Ghent, Belgium, 2Southwest University, Chongqing, China

First Author:

Chanyu WANG  
Ghent University
Ghent, Belgium

Co-Author(s):

Qinyuan Chen  
Ghent University
Ghent, Belgium
Guorong Wu  
Southwest University
Chongqing, China
Paula Horczak  
Ghent University
Ghent, Belgium
Jonathan Remue  
Ghent University
Ghent, Belgium
Chris Baeken  
Ghent University
Ghent, Belgium

Introduction:

Repetitive negative thinking (RNT), such as rumination or worry, is regarded as a transdiagnostic process underlying mood and anxiety disorders [1]. Individuals with RNT have increased risk for developing mood and anxiety disorders [2]. Cognitive behavioural therapy (CBT) has proven to be effective in reducing RNT among patients with major depressive disorder (MDD) and generalized anxiety disorder (GAD) [3]. Despite the widespread use of CBT to target RNT, its potential impact on underlying brain mechanisms remains insufficiently understood. This study investigates the effects of group CBT on functional connectivity (FC) changes based on the frontoparietal network in such individuals.

Methods:

The study included 50 healthy controls (HC) and 75 patients with high RNT. All participants completed questionnaires and underwent fMRI scans at baseline. Patients were randomly assigned to either the CBT group (CBTG; N = 43), which received eight CBT sessions, or the waiting list control group (WLCG; N = 32), which received treatment as usual over the same period. After the intervention, patients completed follow-up questionnaires and a second fMRI scan. The analysis compared seed-based FC in the frontoparietal network including left Lateral Prefrontal Cortex (LPFC, -43, 33, 28), right LPFC (41, 38, 30), left Posterior Parietal Cortex (PPC, -46, -58, 49), and right PCC (52, -52, 45) between HC and patients. The FC-previously identified at baseline between HC and patients-were also extracted and examined within the CBTG and WLCG before and after therapy. A linear mixed model (LMM) was conducted to examine the effects of group (CBTG and WLCG), timepoint (pre- and post-intervention), and their interaction on FC between the right LPFC and the precuneus, as well as between the left LPFC and the precuneus. The LMM included a random intercept for participants to account for repeated measures. Finally, the FC changes (post-pre) was correlated with questionnaire changes. This study is part of a registered clinical trial (NCT01983033).

Results:

A two-sample t-test revealed that patients compared with HC showed significantly higher FC between the left LPFC and the precuneus (MNI coordinates: x = -10, y = -58, z = 16, voxel-level p < 0.001, cluster-level p < 0.05, FDR-corrected, Figure 1B & C), and the significantly higher FC between the right LPFC and precuneus (MNI coordinates: x = -4, y = -62, z = 18, Figure 1E & F). The LMM did not reveal significant main effects of group (χ2(1) = 0.030, p = 0.862), timepoint (χ2(1) = 0.086, p = 0.769), or their interaction (χ2(1) = 2.640, p = 0.104) on the FC between the right LPFC and the precuneus or between the left LPFC and the precuneus for the CBTG and WLCG groups across pre- and post-intervention. However post hoc contrasts within the LMM revealed a significant decrease in FC between the right LPFC and the precuneus from pre- to post-intervention in CBTG (β ̂ = 0.101, SE = 0.037, t (51) = 2.737, p = 0.0085; d = 0.719, 95% CI [0.188,1.249]; Figure 2E). At the post-intervention timepoint, the CBTG also exhibited significantly lower FC between the right LPFC and the precuneus compared to WLCG (β ̂ = 0.095, SE = 0.042, t (100) = 2.301, p = 0.024; d = 0.686, 95% CI [0.087,1.285]; Figure 2E). Furthermore, the reduction in FC was significantly associated with improved quality-of-life scores in the CBTG (r = -0.41, p = 0.036; Figure 2F).
Supporting Image: Figure1.PNG
Supporting Image: Figure2.PNG
 

Conclusions:

This study showed that group CBT affects LPFC-based FC, highlighting its ability to alter brain activity and enhance well-being. These findings support the therapeutic benefits of CBT and its impact on brain function.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)

Novel Imaging Acquisition Methods:

BOLD fMRI 2

Keywords:

Affective Disorders
Anxiety
DISORDERS
Emotions
FUNCTIONAL MRI
MRI
Psychiatric
Psychiatric Disorders
Other - Depression; Repetitive Negative Thinking

1|2Indicates the priority used for review

Abstract Information

By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.

I accept

The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:

I do not want to participate in the reproducibility challenge.

Please indicate below if your study was a "resting state" or "task-activation” study.

Resting state

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Functional MRI
Behavior

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

Other, Please list  -   fmriprep; CONN

Provide references using APA citation style.

1. Ehring, T., & Watkins, E. R. (2008). Repetitive negative thinking as a transdiagnostic process. International Journal of Cognitive Therapy, 1(3), 192–205. https://doi.org/10.1680/ijct.2008.1.3.192
2. McEvoy, P. M., Salmon, K., Hyett, M. P., Jose, P. E., Gutenbrunner, C., Bryson, K., & Dewhirst, M. (2019). Repetitive Negative Thinking as a Transdiagnostic Predictor of Depression and Anxiety Symptoms in Adolescents. Assessment, 26(2), 324–335. https://doi.org/10.1177/1073191117693923
3. Rogiers, R., Baeken, C., Watkins, E. R., van den Abbeele, D., Remue, J., de Raedt, R., & Lemmens, G. M. D. (2022). A Psychoeducational CBT-based Group Intervention ("Drop It") for Repetitive Negative Thinking: Theoretical Concepts and Treatment Processes. International journal of group psychotherapy, 72(3), 257–292. https://doi.org/10.1080/00207284.2022.2066535

UNESCO Institute of Statistics and World Bank Waiver Form

I attest that I currently live, work, or study in a country on the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries list provided.

No