Data Sheet 1_Transcriptional signatures of the cortical morphometric similarity network gr

87 left temporal lobe epilepsy patients and 63 healthy controls were studied for cortical morphometric similarity network gradient abnormalities. The dataset, authored by Kanlin Lin and last updated in June 2026, likely contains results from group comparisons and partial least squares regression linking gradient changes to whole-brain gene expression. The data is shared under a CC-BY-4.0 license.

Use Cases

• Identify brain network gradient abnormalities based on comparisons between patient groups and healthy controls.
• Investigate associations between structural brain changes and gene expression patterns based on partial least squares regression results.
• Analyze the role of the default mode network in focal to bilateral tonic-clonic seizures based on gradient reduction findings.

Strengths

• Includes data from 150 total subjects (87 patients, 63 controls), providing a basis for group comparisons.
• Analysis links structural brain changes to whole-brain gene expression, suggesting a multi-modal approach.
• Dataset is licensed as CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is small (416.5 KB), indicating limited scope and likely summary or processed results rather than raw data.

Provenance

Source

figshare

Collection Method

Group comparisons and partial least squares regression analysis of neuroimaging and transcriptomic data.

Freshness

Last updated 2026-06-03 10:45:25.