Lesion Network Brain Regions for Fatigue Analysis

A 9.5 KB XLS file containing brain regions identified through a lesion network approach. The dataset was created by Suhrit Duttagupta and last updated in March 2026. It is derived from a study that assessed 231 patients to identify key predictors of fatigue.

Use Cases

• Map lesion network components to specific white matter regions like the Right Corona Radiata for neuroanatomical analysis.
• Correlate identified brain regions with clinical scores such as Total MFI Scores to study neurological factors in fatigue.
• Analyze the association between lesion network components and specific fatigue subdimensions like Reduced Activity.

Strengths

• Data is derived from a study that assessed 231 patients, providing a clinical foundation.
• The dataset is focused on a specific methodology, the lesion network approach, for identifying brain regions.
• It is shared under a permissive CC BY 4.0 license, allowing for reuse and modification.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope and likely a small number of entries.
• Specific column names and row counts are unknown, complicating direct analysis without inspection.
• The description and tags suggest a focus on a relatively homogeneous population, which may limit generalizability.

Provenance

Source

figshare, uploaded by author Suhrit Duttagupta.

Collection Method

Derived from a lesion network approach applied to patient data.

Freshness

Last updated on 2026-03-23, indicating it is current or a future-dated entry.