Transcriptional Signatures of Cortical Network Gradients in Temporal Lobe Epilepsy

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 analysis linking gradient changes to whole-brain gene expression. The data is stored in a 592.5 KB DOCX file.

Use Cases

• Identify brain network gradient abnormalities based on comparisons between patient groups and healthy controls.
• Investigate associations between structural gradient changes and gene expression patterns based on partial least squares regression analysis.
• Explore links between specific seizure symptoms (FBTCS) and alterations in the default mode network.

Strengths

• Includes data from 150 subjects (87 patients, 63 controls) for group comparisons.
• Links structural brain network features to whole-brain gene expression data.
• Uses a specific clinical cohort of left temporal lobe epilepsy patients with documented seizure symptoms.

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 small at 592.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Group comparisons and partial least squares regression analysis of patient and control data.

Freshness

Last updated 2026-06-03 10:45:25; freshness should be verified.