Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson’s disease.

Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson’s disease.

Publication date: Apr 01, 2019

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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Mishra, V.R., Sreenivasan, K.R., Zhuang, X., Yang, Z., Cordes, D., and Walsh, R.R. Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson’s disease. 21075. 2019 Heliyon (5):4.

Concepts Keywords
Analytic Neuroscience
Biomarkers Voxel-based morphometry
Cohort DTI
Correlation Tensors
DaT Diffusion MRI
Diffusion Tensor Imaging Magnetic resonance imaging
DTI Neuroimaging
Frontal Cortex Pathology disease
Morphometry Imaging
Nonparametric
Parkinson
Pathology
ROI
Scalar
Spatial Statistics
Tensor
Voxel
White Matter

Semantics

Type Source Name
disease MESH disease progression
gene UNIPROT SLC6A3
gene UNIPROT TBATA
gene UNIPROT AICDA

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