Bibliometric Analysis of fMRI Research in Disorders of Consciousness, 2009-2025

418 publications from 39 countries or regions on functional magnetic resonance imaging (fMRI) for prolonged disorders of consciousness diagnosis, analyzed using bibliometric methods. The dataset was created by Xi-Chen Wang and last updated in May 2026. It includes results from a Web of Science search and a separate narrative synthesis of 18 clinical trials from PubMed.

Use Cases

• Analyze publication trends and research evolution based on the 2009-2025 time span mentioned in the description.
• Map country and institutional collaboration networks based on the contributions from the United States, China, and Belgium.
• Identify key research clusters and emerging topics based on keyword analysis for Minimally Conscious State (MCS) and resting-state fMRI.
• Contextualize bibliometric findings with clinical trial outcomes based on the narrative synthesis of 18 therapeutic intervention studies.

Strengths

• Includes 418 analyzed publications, providing a substantive corpus for bibliometric study.
• Covers a 16-year time range from 2009 to 2025, allowing for trend analysis.
• Identifies core scholars and the most cited journal (NeuroImage) directly from the analysis.
• Supplemented with a narrative review of 18 recent clinical trials for clinical context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• The dataset is small (38.1 KB), indicating limited scope, likely containing summary tables rather than raw publication data.

Provenance

Source

Web of Science Core Collection and PubMed.

Collection Method

Bibliometric analysis performed using CiteSpace 6.3. R1; narrative synthesis for clinical trials.

Time Range

2009 to September 2025

Freshness

Last updated 2026-05-04 04:18:53; freshness should be verified.

Geography

39 countries or regions, with the United States, China, and Belgium as leading contributors.