ArticleAnnals of general psychiatry2024
Functional magnetic resonance imaging of depression: a bibliometrics and meta-analysis.
Article in Annals of general psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Meta-analysis of neural correlates of working memory, reward, and emotion processing in major depressive disorder using ALE.Psychological medicine · 2026Pooled it
- Knowledge domain and trends in acupuncture for stroke research based on bibliometric analysis.Frontiers in human neuroscience · 2025Pooled it
- Global trends in migraine and anxiety over the past 10 years: a bibliometric analysis.Frontiers in neurology · 2024Pooled it
- Relationship between 21 Medications and Negative Emotions: A Mendelian Randomization Analysis in Asian Populations.Current medicinal chemistry · 2026Article
- Cerebellar neurocan gene expression is a common pathogenic factor of trigeminal neuralgia and depression.The journal of headache and pain · 2025Article
- Immediate and sustained effects of acupuncture on the default mode network.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectivesThis 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.
methodsCiteSpace 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.
resultsA 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.
conclusionsThis study sheds light on key issues and future directions in fMRI research on depression, elucidating the brain regions related to depression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.