MFI Score Correlations with Clinical Factors in Neurological Patients

Assessed 231 patients to analyze correlations between Multidimensional Fatigue Inventory scores and clinical factors, adjusted for confounding variables. The dataset includes data on white matter regions, depressive disorders, and lesion-based multivariate analysis. It is a small, focused dataset of 21.5 KB in XLS format.

Use Cases

• Analyze correlations between Total MFI Scores and clinical factors like depressive disorders using multivariate lesion data.
• Identify key predictors of fatigue by examining Reduced Activity Subdimensions across diverse patient populations.
• Investigate associations between MFI scores and specific neurological factors such as Right Corona Radiata white matter regions.

Strengths

• Contains data from 231 assessed patients, providing a specific sample size for analysis.
• Includes multiple clinical dimensions such as MFI scores, white matter regions, and depressive disorders.
• Released under a permissive CC BY 4.0 license, facilitating open use and redistribution.

Limitations

• Very small data volume at 21.5 KB, limiting the scope for complex statistical or machine learning modeling.
• Limited to a relatively homogeneous population, which may reduce generalizability to broader demographics.
• No column definitions or sample data are provided, complicating initial data understanding and preprocessing.

Provenance

Source

figshare

Collection Method

Clinical assessment of patients, likely involving MFI surveys and neurological evaluation.

Freshness

Last updated on March 23, 2026, indicating recent maintenance.