Spearman Correlations for MFI Scores and Neurological Variables

A 9.5 KB XLS file contains Spearman correlation coefficients between Multidimensional Fatigue Inventory (MFI) domain scores and psychological, neurological, and neuroimaging variables. The data is based on an assessment of 231 patients from a relatively homogeneous population. It was authored by Suhrit Duttagupta and last updated in March 2026.

Use Cases

• Analyze Spearman correlations between MFI domain scores and psychological variables to identify key predictors of fatigue.
• Investigate associations between MFI scores and neuroimaging variables, such as those related to the right corona radiata and other white matter regions.
• Examine the relationship between MFI subdimensions, like reduced activity, and neurological factors in a cohort of 231 patients.
• Use the correlation matrix to explore the multidimensional construct of fatigue in relation to cerebral risk factors.

Strengths

• Data is based on a specific cohort of 231 assessed patients, providing a concrete sample size.
• Focuses on a relatively homogeneous population, which can reduce confounding demographic variables.
• Includes correlations with diverse variable types: psychological, neurological, and neuroimaging.

Limitations

• The dataset is very small at 9.5 KB, limiting the scope and statistical power of any secondary analysis.
• The exact number of rows, columns, and specific variable names are unknown from the provided input.
• The temporal coverage and specific geographic origin of the patient data are not specified.

Provenance

Source

figshare, authored by Suhrit Duttagupta.

Collection Method

Based on a multivariate lesion study assessing 231 patients.

Freshness

Last updated in March 2026.