Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies

Area of Science:

• Neuroimaging
• Diffusion MRI
• White Matter Integrity

Background:

• Diffusion Tensor Imaging (DTI) is standard for white matter analysis but has limitations in complex structures.
• Evaluating microstructural properties in clinical studies requires robust and sensitive diffusion MRI measures.
• Novel approaches are needed to overcome DTI's limitations in assessing complex white matter.

Purpose of the Study:

• To validate Apparent Measures Using Reduced Acquisitions (AMURA) against DTI for reliability and robustness.
• To compare the efficacy of AMURA and DTI in identifying differences in white matter properties in migraine patients.
• To assess the stability and discrimination power of AMURA and DTI with reduced sample sizes.

Main Methods:

• Single-shell diffusion MRI was acquired from 50 healthy controls, 51 episodic migraine, and 56 chronic migraine patients.
• Four DTI-based and eight AMURA-based parameters were compared using tract-based spatial statistics and region-based analysis.
• Stability and discrimination power were evaluated using subsamples with reduced sizes and 5,001 random permutations.

Main Results:

• AMURA detected more significant differences between episodic migraine patients and controls compared to DTI.
• DTI identified more differences between episodic and chronic migraine groups than AMURA.
• AMURA parameters demonstrated greater stability and less dependency on sample size compared to DTI.

Conclusions:

• AMURA shows favorable characteristics for identifying microstructural differences in complex white matter regions.
• AMURA offers improved sensitivity and robustness, particularly with reduced sample sizes, compared to DTI.
• AMURA presents a promising alternative for clinical studies assessing white matter integrity in neurological conditions.