ReviewAnnals of general psychiatry2026
Global scientific trends on neuroimaging in obsessive-compulsive disorder in the early twenty-first century: a bibliometric analysis and visualization analysis.
Review in Annals of general psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis bibliometric analysis aims to delineate the evolution, current trends, and future directions in neuroimaging research on obsessive-compulsive disorder (OCD) from 2000 to 2024. By synthesizing global research output, collaboration networks, and technological advancements, we seek to highlight knowledge gaps and propose strategies to enhance the equity, reproducibility, and translational impact of OCD neuroimaging studies.
methodsData were sourced from the Web of Science Core Collection, spanning January 1, 2000, to December 31, 2024. A structured search strategy identified 2,000 eligible articles and reviews. Bibliometric analysis was conducted using CiteSpace, VOSviewer, and Excel to examine publication trends, geographic and institutional collaborations, keyword co-occurrence, citation patterns, and journal influence.
resultsOCD neuroimaging research has shown sustained growth, with a shift from metabolic studies to network neuroscience, driven by advances in functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and artificial intelligence (AI). High-income countries dominated research output, with the United States contributing 36.5% of publications. However, low- and middle-income countries (LMICs) remain underrepresented. Keyword analysis revealed emerging themes such as transdiagnostic biomarkers and neuromodulation therapies. High-impact journals like Biological Psychiatry and American Journal of Psychiatry dominated citations, while specialized journals struggled with visibility. Methodological heterogeneity and limited data sharing posed significant challenges to reproducibility.
conclusionThis bibliometric analysis maps the transformation of OCD neuroimaging into a central pillar of translational psychiatry, revealing sustained growth, a paradigm shift toward network-based methods, and persistent geographical disparities. These documented trends collectively highlight that advancing equitable and reproducible research requires prioritized global collaboration and the adoption of open science frameworks. Therefore, addressing these specific gaps is crucial for developing neuroimaging-informed biomarkers and interventions with broad clinical applicability.
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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.