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Inhibitory Control Brain Patterns in Depression vs. Psychostimulant Users: A Meta-Analysis

Poster No:

425

Submission Type:

Abstract Submission

Authors:

Yuanyuan Li¹, Xiqin LIU², Qiyong Gong²

Institutions:

¹Department of Radiology and Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, ²1Department of Radiology and Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan

First Author:

Yuanyuan Li
Department of Radiology and Huaxi MR Research Center, West China Hospital of Sichuan University
Chengdu, Sichuan

Co-Author(s):

Xiqin LIU
1Department of Radiology and Huaxi MR Research Center, West China Hospital of Sichuan University
Chengdu, Sichuan

Qiyong Gong
1Department of Radiology and Huaxi MR Research Center, West China Hospital of Sichuan University
Chengdu, Sichuan

Introduction:

Major depressive disorder (MDD) and psychostimulant use disorder (PUD) are two of the most common and devastating psychopathologies, posing a staggering burden on public health. Inhibitory control (IC) deficits are a common behavioral phenotype in MDD and PUD. However, whether IC in MDD and PUD is underpinned by shared or unique neurobiology remains unclear. This study aimed to compare the brain functional alterations during IC tasks between MDD and PUD.

Methods:

A systematic literature search on task-based functional magnetic resonance imaging (fMRI) studies during IC tasks in MDD and PUD (cocaine or methamphetamine use disorder) was conducted in PubMed, Web of Science, and Scopus. A quantitative meta-analysis was performed to determine common and disorder-specific functional abnormalities during IC tasks in MDD and PUD patients using seed-based d mapping (Radua., 2012). We employed a three-step meta-analytic approach (Liu et al., 2022): first, to assess robust brain activation alterations for each patient group relative to their HC, separate meta-analyses (MDD vs HC and PUD vs HC) were conducted using results from IC-related contrasts (e.g. nogo vs go, incongruent vs congruent, stop vs failed-stop); second, to investigate differentiating activation alterations, quantitative comparative meta-analysis compared brain activation between MDD and PUD patients, covarying for age and gender; and third, to identify overlapping/contrasting neurofunctional alterations between MDD and PUD patients, a conjunction/disjunction analysis was performed, taking into account the error in estimating the p-values from individual meta-analyses.

Results:

Fourteen studies comparing IC-related brain activation in 340 MDD patients with 303 healthy controls (HC), and 11 studies comparing 258 PUD patients with 273 HC, were identified. MDD exhibited disorder-specific hypoactivation in the median cingulate/paracingulate gyri (MCG) relative to HC and PUD, while PUD showed disorder-specific hypoactivation in the bilateral inferior parietal lobule (IPL) during IC tasks. Moreover, conjunction analysis identified shared hypoactivation in the right inferior/middle frontal gyrus in both MDD and PUD patients.

·Figure 1

Conclusions:

This meta-analysis provides a comprehensive delineation of the neural activation patterns during IC tasks in MDD and PUD patients. The results revealed disorder-specific hypoactivation in the MCG in MDD and bilateral IPL in PUD, as well as common neurofunctional alterations in the right IFG/MFG which is engaged in top-down cognitive control. These findings provide new insights into the neurobiology of IC in MDD and PUD and may have implications for differential diagnosis and treatment.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) ¹

Higher Cognitive Functions:

Executive Function, Cognitive Control and Decision Making ²

Modeling and Analysis Methods:

fMRI Connectivity and Network Modeling

Novel Imaging Acquisition Methods:

BOLD fMRI

Keywords:

Cognition

MRI

Psychiatric Disorders

Other - Meta

^1|2Indicates the priority used for review

Abstract Information

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

Task-activation

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

Patients

Was this research conducted in the United States?

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.

Not applicable

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

Neuropsychological testing

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

3.0T

Provide references using APA citation style.

Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012). A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. European Psychiatry, 27(8), 605-611.
Liu, X., Klugah-Brown, B., Zhang, R., Chen, H., Zhang, J., & Becker, B. (2022). Pathological fear, anxiety and negative affect exhibit distinct neurostructural signatures: evidence from psychiatric neuroimaging meta-analysis. Transl Psychiatry, 12(1), 405.

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