SynthesisFrontiers in neurology2020
Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review.
Synthesis in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Associations between olfactory dysfunction and structural MRI findings in Parkinson's disease: a systematic review.Brain imaging and behavior · 2026Pooled it
- MRI-Based Quantitative Assessment of Normal-Appearing White and Gray Matter Demyelination in Multiple Sclerosis, Parkinson's Disease, Long COVID, and Normal Aging.Biomedicines · 2026Article
- Streamline-Based Analysis: A novel framework for tractogram-driven streamline-wise statistical inference.Research square · 2026Article
- Association between amygdala subregions and non-motor symptoms in Parkinson's disease: a fixel-based analysis.Brain imaging and behavior · 2026Article
- Data-driven neurobiological subtyping of Parkinson's disease using diffusion MRI-derived isotropic diffusion.Neuroradiology · 2026Article
- Neuroimaging of the monoaminergic system in Parkinson's disease: A narrative review.Neuroimage. Reports · 2026Review
- Paired regional complementarity in diffusion MRI reveals disease-specific microstructural profiles in PD, MSA, and PSP: a feasibility study.Scientific reports · 2026Article
- Review
- Potential role of SLC6A3 in neurodevelopmental impairments associated with corpus callosum abnormalities: insights from CNV analysis and clinical phenotyping.Molecular cytogenetics · 2025Article
- Microstructural alterations of the trigeminal ganglion in chronic ocular surface pain patients: A diffusion MRI study.NeuroImage · 2025Article
- Altered network efficiency in isolated REM sleep behavior disorder: A multicentric study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Advanced Imaging Techniques (PET, fMRI, DTI) in Early Detection of Neurodegenerative Diseases: A Systematic Review.Health science reports · 2025Review
- Subregional alterations in corpus callosum is associated with different symptoms in early-stage parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Temporal changes and implications of diffusion tensor imaging metrics and cerebral white matter volume in patients undergoing carotid endarterectomy - a prospective study.Neuroradiology · 2025Article
- Assessment of complementary white matter microstructural changes and grey matter atrophy in the 6-OHDA-induced model of Parkinson's disease.Neuroscience · 2025Article
- Article
- Alterations in functional and structural connectivity in the 6-OHDA-induced Parkinsonian rat model.Frontiers in neuroscience · 2025Article
- Cholinergic white matter pathways integrity in prodromal and early manifest Lewy body disease.Brain communications · 2025Article
- Changes in the olfactory tract of patients with early Parkinson's disease: A DTI tractography study.Clinical parkinsonism & related disorders · 2025Article
- Investigating white matter alterations in Parkinson's disease using multi-shell free-water DTI and NODDI: insights into neurodegeneration and levodopa effects.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.