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

Autor: A. M. Klassen, C. Baten, J. H. Shepherd, G. Zamora, S. Saravia, E. Pritchard, Z. Ali, J. Jordan, S. K. Kahlon, G. Maly, M. Duran, S. L. Santos, A. F. Nimarko, D. W. Hedges, J. P. Hamilton, I. H. Gotlib, M. D. Sacchet, C. H. Miller
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: European Psychiatry, Vol 66, Pp S158-S158 (2023)
Druh dokumentu: article
ISSN: 0924-9338
1778-3585
DOI: 10.1192/j.eurpsy.2023.388
Popis: 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
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