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The Neural Basis of Major Depressive Disorder in Adults: A Meta-Analysis of Functional Magnetic Resonance Imaging Activation Studies

Published online by Cambridge University Press:  19 July 2023

A. M. Klassen*
Affiliation:
1Psychology, California State University, Fresno
C. Baten
Affiliation:
1Psychology, California State University, Fresno
J. H. Shepherd
Affiliation:
1Psychology, California State University, Fresno
G. Zamora
Affiliation:
1Psychology, California State University, Fresno
S. Saravia
Affiliation:
1Psychology, California State University, Fresno
E. Pritchard
Affiliation:
1Psychology, California State University, Fresno
Z. Ali
Affiliation:
1Psychology, California State University, Fresno
J. Jordan
Affiliation:
1Psychology, California State University, Fresno
S. K. Kahlon
Affiliation:
1Psychology, California State University, Fresno
G. Maly
Affiliation:
1Psychology, California State University, Fresno
M. Duran
Affiliation:
1Psychology, California State University, Fresno
S. L. Santos
Affiliation:
1Psychology, California State University, Fresno
A. F. Nimarko
Affiliation:
2Psychology, Stanford University, Stanford
D. W. Hedges
Affiliation:
3Psychology, Brigham Young University, Provo, United States
J. P. Hamilton
Affiliation:
4Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
I. H. Gotlib
Affiliation:
2Psychology, Stanford University, Stanford
M. D. Sacchet
Affiliation:
5Meditation Research Program, Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, United States
C. H. Miller
Affiliation:
1Psychology, California State University, Fresno
*
*Corresponding author.

Abstract

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Introduction

Major depressive disorder (MDD) is a highly prevalent mental illness that often first occurs or persists into adulthood and is considered the leading cause of disability and disease burden worldwide. Unfortunately, individuals diagnosed with MDD who seek treatment often experience limited symptom relief and may not achieve long-term remission, which is due in part to our limited understanding of its underlying pathophysiology. Many studies that use task-based functional magnetic resonance imaging (fMRI) have found abnormal activation in brain regions in adults diagnosed with MDD, but those findings are often inconsistent; in addition, previous meta-analyses that quantitatively integrate this large body literature have found conflicting results.

Objectives

This meta-analysis aims to advance our understanding of the neural basis of MDD in adults, as measured by fMRI activation studies, and address inconsistencies and discrepancies in the empirical literature.

Methods

We employed multilevel kernel density analysis (MKDA) with ensemble thresholding, a well-established method for voxel-wise, whole-brain meta-analyses, to conduct a quantitative comparison of all relevant primary fMRI activation studies of adult patients with MDD compared to age-matched healthy controls.

Results

We found that adults with MDD exhibited a reliable pattern of statistically significant (p<0.05; FWE-corrected) hyperactivation and hypoactivation in several brain regions compared to age-matched healthy controls across a variety of experimental tasks.

Conclusions

This study supports previous findings that there is reliable neural basis of MDD that can be detected across heterogenous fMRI studies. These results can be used to inform development of promising treatments for MDD, including protocols for personalized interventions. They also provide the opportunity for additional studies to examine the specificity of these effects among various populations-of-interest, including youth vs. adults with depression as well as other related mood and anxiety disorders.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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