Multimodal Diffusion MRI Biomarkers for Mild Traumatic Brain Injury

Twenty individuals with mild traumatic brain injury and 24 healthy controls underwent advanced diffusion MRI and cognitive assessment. The data includes multi-shell DTI, free-water corrected DTI, diffusion kurtosis imaging, and NODDI metrics, linked to MoCA and GOS-E clinical scores. Authored by Maurizio Bergamino and shared under CC-BY-4.0, this dataset was last updated on May 28, 2026.

Use Cases

• Train models to predict cognitive impairment based on diffusion MRI metrics like fractional anisotropy and neurite density.
• Compare the reliability of different diffusion MRI techniques (e.g., NODDI vs. conventional DTI) for clinical applications.
• Investigate associations between specific white matter alterations (e.g., free-water fraction) and functional recovery scores.
• Validate advanced dMRI biomarkers for sensitive detection of subtle brain injuries not visible on conventional scans.

Strengths

• Includes data from a controlled study with 20 mTBI patients and 24 healthy controls.
• Leverages multiple advanced diffusion MRI techniques (DTI, fw-DTI, DKI, NODDI) for multi-parametric analysis.
• Test-retest reliability was assessed in a subset of 11 healthy controls, providing evidence for metric stability.

Limitations

• The dataset is small in file size (213.3 KB), suggesting limited raw data or a summary document.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale machine learning tasks.

Provenance

Source

Maurizio Bergamino

Collection Method

Clinical study involving diffusion MRI scans and cognitive assessments.

Freshness

Last updated 2026-05-28 06:32:10; freshness should be verified.