Functional magnetic resonance imaging of depression: a bibliometrics and meta-analysis.

Ann Gen Psychiatry

Center for Neuromusculoskeletal Restorative Medicine & Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, 999077, Hong Kong SAR, People's Republic of China.

Published: October 2024


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Article Abstract

Objectives: This study aims to reveal the current knowledge map, research hotspots of functional magnetic resonance imaging (fMRI) studies on depression, as well as identify the brain regions associated with depression.

Methods: CiteSpace was conducted to analyze the publication outputs, country, institution, cited journals, author and cited author, references, keyword cocurrence and burst keywords of fMRI studies in depression from 2010 to 2024. And a meta-analysis of fMRI was used to identify brain regions associated with depression using Neurosynth.

Results: A total of 4,049 publications were included, and Gong Qiyong was the most prolific authors. Neuroimage, Biological Psychiatry, and Human Brain Mapping were prominent journals. Default mode network (DMN), prefrontal cortex, amygdala, and anterior cingulate cortex were the popular keywords. The fMRI studies on depression have mainly focused on major depression, especially the DMN. Functional connectivity and regional homogeneity of brain regions were research hotspots. The meta-analysis revealed significant differences in brain regions between patients with depression and healthy controls, including the Amygdala_L, Insula_R, Frontal_Inf_Oper_R, Cingulum_Post_L, Putamen_L, Thalamus_R, Angular_L, Precuneus_R, Frontal_Sup_R, Occipital_Inf_L.

Conclusions: This study sheds light on key issues and future directions in fMRI research on depression, elucidating the brain regions related to depression.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520125PMC
http://dx.doi.org/10.1186/s12991-024-00525-xDOI Listing

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