Structural Brain Networks in Trigeminal Neuralgia Patients and Controls

30 trigeminal neuralgia patients and 20 matched controls had their whole-brain structural networks reconstructed from diffusion tensor imaging data. The dataset, authored by Xiao-Yi Guo and last updated in 2026, contains 90x90 connectivity matrices analyzed using Network-Based Statistics and graph theory. Results show side-specific alterations in subnetworks involving regions like the anterior cingulate gyrus and postcentral gyrus.

Use Cases

• Identifying pain-side-specific biomarkers based on altered structural connectivity subnetworks.
• Comparing global and nodal graph properties between patient and control groups.
• Investigating lateralization of brain network architecture in chronic pain conditions.
• Validating network-based statistical methods for detecting altered connectivity in clinical populations.

Strengths

• Includes data from 30 patients and 20 matched controls, providing a basis for comparison.
• Analysis uses 90x90 whole-brain structural connectivity matrices derived from diffusion tensor imaging.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset file is a 35.4 KB DOCX document, suggesting the primary data may be summarized results rather than raw connectivity matrices.
• Description metadata is limited; actual data quality and format require manual inspection after download.

Provenance

Source

figshare, author Xiao-Yi Guo

Collection Method

Whole-brain structural networks reconstructed from diffusion tensor imaging tractography.

Freshness

Last updated 2026-05-29 06:15:02