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Published on: June 9, 2018
Separable, symptom specific alterations in brain microstructure associated with early-stage Parkinson's disease
Mikhail Moshchin1,2, Maureen B Haebig3, Cuong P Luu1,2
1Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, United States.
In early Parkinson's Disease (PD), distinct brain pathways are linked to motor and non-motor symptoms. This study used advanced MRI to show how white matter changes correlate with these distinct symptoms, offering insights into PD's progression.
Area of Science:
- Neuroimaging
- Neuroscience
- Neurology
Background:
- Parkinson's Disease (PD) diagnosis relies on motor symptoms, but non-motor symptoms often precede them, indicating prodromal PD.
- The neural basis and dopamine depletion effects on motor versus non-motor symptoms in PD are not fully understood.
Purpose of the Study:
- To investigate microstructural brain changes in early-stage Parkinson's Disease using correlational tractography.
- To determine the association between white matter integrity, motor symptoms, and non-motor symptoms in PD.
Main Methods:
- Applied multi-shell, diffusion-weighted magnetic resonance imaging (dMRI) to 8 early-stage PD patients and 5 healthy controls.
- Utilized correlational tractography to quantify groupwise differences in white matter integrity, with and without age correction.
- Assessed motor, cognitive, and mood functions in all participants.
Main Results:
- Correlational tractography identified distinct microstructural changes associated with PD status.
- Quantitative anisotropy (QA) from positively associated fibers correlated with cognitive function; QA from negatively associated fibers correlated with motor function.
- Age-uncorrected analyses showed QA of positively associated fibers correlated with depressive mood, indicating an age-related effect.
Conclusions:
- Motor and non-motor symptoms in early PD are associated with distinct anatomical pathways, suggesting separate pathophysiological mechanisms.
- Correlational tractography is a suitable method for evaluating structural connectivity changes in neurodegenerative diseases.
- Findings may inform future therapeutic interventions for Parkinson's Disease.
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