Cortical Surface Morphometry in Fibromyalgia Patients and Healthy Controls

33 female fibromyalgia patients and 33 age-matched healthy controls underwent MRI scans to assess cortical thickness, fractal dimension, gyrification, and sulcal depth. The study, authored by Jiancheng Hou and published on figshare in 2026, found widespread bidirectional alterations in cortical structure across these four metrics. Clinical measures of depression, anxiety, alexithymia, pain, and disease impact were also collected and correlated with structural findings.

Use Cases

• Identify structural biomarkers for fibromyalgia based on cortical thickness, fractal dimension, gyrification index, and sulcal depth.
• Analyze correlations between brain morphometry and clinical symptoms like depression, anxiety, and pain.
• Compare multi-parametric cortical surface features between patient and control groups for diagnostic modeling.

Strengths

• Includes data from 66 participants (33 patients and 33 controls), providing a matched cohort for comparison.
• Analyzes four distinct cortical morphometry metrics, offering a multi-parametric view of brain structure.
• Correlates structural findings with five clinical measures, linking anatomy to symptom severity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (59.3 KB), indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare

Collection Method

T1-weighted MRI scans analyzed with surface-based morphometry and non-parametric permutation testing.

Freshness

Last updated 2026-05-25 06:03:34; freshness should be verified.