ArticleHeliyon2019
Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson's disease.
Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05227820 (Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- White Matter Abnormalities in Patients With Parkinson's Disease: A Meta-Analysis of Diffusion Tensor Imaging Using Tract-Based Spatial Statistics.Frontiers in aging neuroscience · 2020Pooled it
- Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review.Frontiers in neurology · 2020Pooled it
- Biological heterogeneity in Parkinson's disease: implications for MRI-based patient stratification.NPJ Parkinson's disease · 2026Review
- Evaluating Transferability of ComBat Harmonization of Diffusion Tensor Magnetic Resonance Imaging Data.Annals of biomedical engineering · 2026Article
- White matter biomarker for predicting de novo Parkinson's disease using tract-based spatial statistics: a machine learning-based model.Quantitative imaging in medicine and surgery · 2024Article
- Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data.NPJ Parkinson's disease · 2024Article
- Review
- Machine learning within the Parkinson's progression markers initiative: Review of the current state of affairs.Frontiers in aging neuroscience · 2023Review
- Whole brain atlas-based diffusion kurtosis imaging parameters for evaluation of minimal hepatic encephalopathy.The neuroradiology journal · 2022Article
- Treatment of Dementia With Bosutinib: An Open-Label Study of a Tyrosine Kinase Inhibitor.Neurology. Clinical practice · 2021Article
- Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning.Frontiers in computational neuroscience · 2021Article
- Value of Magnetic Resonance Diffusion Tensor Imaging Combined with Quantitative Electroencephalogram in Diagnosis of Neurocognitive Impairment in Patients with White Matter Demyelination.Contrast media & molecular imaging · 2021Article
- Unique white matter structural connectivity in early-stage drug-naive Parkinson disease.Neurology · 2020Article
- Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review.Frontiers in neurology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Diffusion tensor imaging (DTI) studies in early Parkinson's disease (PD) to understand pathologic changes in white matter (WM) organization are variable in their findings. Evaluation of different analytic techniques frequently employed to understand the DTI-derived change in WM organization in a multisite, well-characterized, early stage PD cohort should aid the identification of the most robust analytic techniques to be used to investigate WM pathology in this disease, an important unmet need in the field. Thus, region of interest (ROI)-based analysis, voxel-based morphometry (VBM) analysis with varying spatial smoothing, and the two most widely used skeletonwise approaches (tract-based spatial statistics, TBSS, and tensor-based registration, DTI-TK) were evaluated in a DTI dataset of early PD and Healthy Controls (HC) from the Parkinson's Progression Markers Initiative (PPMI) cohort. Statistical tests on the DTI-derived metrics were conducted using a nonparametric approach from this cohort of early PD, after rigorously controlling for motion and signal artifacts during DTI scan which are frequent confounds in this disease population. Both TBSS and DTI-TK revealed a significantly negative correlation of fractional anisotropy (FA) with disease duration. However, only DTI-TK revealed radial diffusivity (RD) to be driving this FA correlation with disease duration. HC had a significantly positive correlation of MD with cumulative DaT score in the right middle-frontal cortex after a minimum smoothing level (at least 13mm) was attained. The present study found that scalar DTI-derived measures such as FA, MD, and RD should be used as imaging biomarkers with caution in early PD as the conclusions derived from them are heavily dependent on the choice of the analysis used. This study further demonstrated DTI-TK may be used to understand changes in DTI-derived measures with disease progression as it was found to be more accurate than TBSS. In addition, no singular region was identified that could explain both disease duration and severity in early PD. The results of this study should help standardize the utilization of DTI-derived measures in PD in an effort to improve comparability across studies and time, and to minimize variability in reported results due to variation in techniques.
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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.