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Updated: Dec 20, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review
Maurizio Bergamino1, Elizabeth G Keeling1,2, Virendra R Mishra3
1Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States.
Abstract:
Structural brain white matter (WM) changes such as axonal caliber, density, myelination, and orientation, along with WM-dependent structural connectivity, may be impacted early in Parkinson disease (PD). Diffusion magnetic resonance imaging (dMRI) has been used extensively to understand such pathological WM changes, and the focus of this systematic review is to understand both the methods utilized and their corresponding results in the context of early-stage PD. Diffusion tensor imaging (DTI) is the most commonly utilized method to probe WM pathological changes. Previous studies have suggested that DTI metrics are sensitive in capturing early disease-associated WM changes in preclinical symptomatic regions such as olfactory regions and the substantia nigra, which is considered to be a hallmark of PD pathology and progression. Postprocessing analytic approaches include region of interest-based analysis, voxel-based analysis, skeletonized approaches, and connectome analysis, each with unique advantages and challenges. While DTI has been used extensively to study WM disorganization in early-stage PD, it has several limitations, including an inability to resolve multiple fiber orientations within each voxel and sensitivity to partial volume effects. Given the subtle changes associated with early-stage PD, these limitations result in inaccuracies that severely impact the reliability of DTI-based metrics as potential biomarkers. To overcome these limitations, advanced dMRI acquisition and analysis methods have been employed, including diffusion kurtosis imaging and q-space diffeomorphic reconstruction. The combination of improved acquisition and analysis in DTI may yield novel and accurate information related to WM-associated changes in early-stage PD. In the current article, we present a systematic and critical review of dMRI studies in early-stage PD, with a focus on recent advances in DTI methodology. Yielding novel metrics, these advanced methods have been shown to detect diffuse WM changes in early-stage PD. These findings support the notion of early axonal damage in PD and suggest that WM pathology may go unrecognized until symptoms appear. Finally, the advantages and disadvantages of different dMRI techniques, analysis methods, and software employed are discussed in the context of PD-related pathology.
Insights
Early Parkinson disease (PD) involves white matter (WM) changes detectable by advanced diffusion MRI (dMRI) methods. These techniques offer improved accuracy for identifying subtle WM pathology before symptoms manifest.
Area of Science:
- Neuroimaging
- Neurology
- Biomarker Discovery
Background:
- Parkinson disease (PD) is associated with early structural brain white matter (WM) changes, affecting axonal properties and connectivity.
- Diffusion magnetic resonance imaging (dMRI) is crucial for investigating these pathological WM alterations in early-stage PD.
- Traditional Diffusion Tensor Imaging (DTI) shows promise but has limitations in resolving complex WM microstructures and mitigating partial volume effects.
Approach:
- This systematic review critically examines dMRI methodologies used in early-stage PD research.
- Focuses on Diffusion Tensor Imaging (DTI) and its limitations, alongside advanced dMRI techniques like diffusion kurtosis imaging and q-space diffeomorphic reconstruction.
- Evaluates various postprocessing analytical approaches including region of interest, voxel-based, skeletonized, and connectome analyses.
Key Points:
- Advanced dMRI methods, including diffusion kurtosis imaging and q-space diffeomorphic reconstruction, offer enhanced sensitivity for detecting diffuse WM changes in early PD.
- These advanced techniques provide novel metrics that can overcome DTI's limitations, improving the reliability of WM metrics as potential biomarkers.
- Early axonal damage is supported by findings, suggesting WM pathology may precede clinical symptom onset in PD.
Conclusions:
- Improved dMRI acquisition and analysis techniques are vital for accurate detection of WM changes in early-stage Parkinson disease.
- Advanced dMRI holds potential for identifying subtle, preclinical WM pathology, aiding in earlier diagnosis and understanding of PD progression.
- A comprehensive understanding of dMRI techniques and analysis methods is essential for robust biomarker development in PD research.
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