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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Cerebellar involvement in essential tremor with and without resting tremor: A Diffusion Tensor Imaging study
Fabiana Novellino1, Giuseppe Nicoletti1, Andrea Cherubini1
1Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy.
Parkinsonism & Related Disorders
|April 7, 2016
Summary
Essential tremor (ET) patients show cerebellar microstructural changes. Resting tremor (rET) in ET patients had intermediate values, suggesting shared mechanisms but also involvement of other brain networks.
Area of Science:
- Neurology
- Neuroimaging
- Neuroscience
Background:
- Essential Tremor (ET) is a neurological disorder with a poorly understood pathophysiology.
- While cerebellar neurodegeneration is implicated in ET, its role in the resting tremor (rET) subtype is unclear.
- Investigating cerebellar microstructure is crucial for understanding ET subtypes.
Purpose of the Study:
- To evaluate cerebellar microstructure in patients with ET, specifically comparing those with (rET) and without resting tremor (ETwr).
- To compare these findings with healthy controls (HC) using Magnetic Resonance Diffusion Tensor Imaging (DTI).
Main Methods:
- Studied 67 ET patients (29 rET, 38 ETwr) and 39 age-matched HC.
- Utilized DTI to measure fractional anisotropy (FA) and mean diffusivity (MD) in cerebellar white matter (WM) and grey matter (GM).
- Analyzed data for the entire cerebellum and individual hemispheres.
Main Results:
- Significantly higher mean diffusivity (MD) in the cerebellar grey matter (GM) of the total ET group compared to HC (p=0.0027).
- ETwr patients showed significantly higher cerebellar GM MD than HC (p=0.0017), while rET patients showed a trend (p=0.067).
- No significant differences in cerebellar white matter (WM) MD or FA values were found across groups.
Conclusions:
- Cerebellar microstructural changes are present in ET patients.
- rET patients exhibited intermediate MD values, suggesting shared pathophysiological mechanisms with ETwr but also indicating that cerebellar involvement alone may not fully explain rET.
- Other neural networks beyond cerebellar pathways likely contribute to the pathophysiology of rET.
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