Neuroimaging Research in Inflammatory Bowel Disease: A Bibliometric Analysis and Review

A bibliometric analysis and systematic scoping review of 175 articles on neuroimaging research in inflammatory bowel disease (IBD), published between January 2000 and January 2026. The dataset, created by Yingchun Zhang and available on figshare, maps publication trends, collaboration networks, and research hotspots in the field.

Use Cases

• Analyzing publication trends and collaboration networks in IBD neuroimaging research based on bibliometric data.
• Identifying key brain regions and symptom associations (e.g., anterior cingulate cortex, insula, amygdala with abdominal pain, anxiety, depression) based on the literature synthesis.
• Comparing neuroimaging phenotypes between Crohn’s disease and ulcerative colitis based on reviewed findings.
• Mapping the evolution of research frontiers like the 'brain-gut axis' and 'default mode network' over time.

Strengths

• Systematic review of 175 articles following PRISMA guidelines.
• Covers a defined time range from January 2000 to January 2026.
• Employs multiple analysis tools (VOSviewer, Biblioshiny, CiteSpace) for bibliometric mapping.

Limitations

• The dataset is a 224.5 KB DOC file, suggesting limited scope and likely containing a manuscript or summary table rather than raw research data.
• Row count and column-level documentation are absent; data structure must be inferred from the document.
• The description notes methodological heterogeneity and small sample sizes as barriers in the underlying literature.

Provenance

Source

figshare, authored by Yingchun Zhang.

Collection Method

Systematic search of Web of Science Core Collection and Scopus databases, with data extraction on study characteristics, neuroimaging modalities, and clinical findings.

Time Range

January 2000 to January 2026.

Freshness

Last updated 2026-06-04 04:27:32.

Geography

Core contributing countries include China and the United States, but global scope is implied.