Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease
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Studies with diffusion tensor imaging (DTI) analysis have produced conflicting information about the involvement of the cerebellar hemispheres in Parkinson’s disease (PD). We, thus, used a new approach for the analysis of DTI parameters in order to ascertain the involvement of the cerebellum in PD.
We performed a fiber tract-based analysis of cerebellar peduncles and cerebellar hemispheres in 16 healthy subjects and in 16 PD patients with more than 5 years duration of disease, using a 3T MRI scanner and a constrained spherical deconvolution (CSD) approach for tractographic reconstructions. In addition, we performed statistical analysis of DTI parameters and fractional anisotropy (FA) XYZ direction samplings.
We found a statistically significant decrement of FA values in PD patients compared to controls (p < 0.05). In addition, extrapolating and analyzing FA XYZ direction samplings for each patient and each control, we found that this result was due to a stronger decrement of FA values along the Y axis (antero-posterior direction) (p < 0.01); FA changes along X and Z axes were not statistically significant (p > 0.05). We confirmed also no statistically significant differences of FA and apparent diffusion coefficient (ADC) for cerebellar peduncles in PD patients compared to healthy controls.
The DTI-based cerebellar abnormalities in PD could constitute an advance in the knowledge of this disease. We demonstrated a statistically significant reduction of FA in cerebellar hemispheres of PD patients compared to healthy controls. Our work also demonstrated that the use of more sophisticated approaches in the DTI parameter analysis could potentially have a clinical relevance.
KeywordsMRI Probabilistic tractography Diffusion tensor imaging Parkinson’s disease FA
We would like to thank Mount Sinai Hospital, New York, for the helpful collaboration.
Ethical standards and patient consent
We declare that all human studies have been approved by our Ethics Committee and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. We declare that all patients gave informed consent prior to inclusion in this study.
Conflict of interest
All authors declare that they have no conflict of interest.
- 19.Tournier JD, Calamante F, Connelly A (2011) Effect of step size on probabilistic streamlines: implications for the interpretation of connectivity analysis. Proc Intl Soc Mag Reson Med 19:2019Google Scholar
- 21.Leemans A, Jeurissen B, Sijbers J et al (2009) ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data. Proc Intl Soc Mag Reson Med 245:3537Google Scholar
- 43.Beaulieu C (2014) The biological basis of diffusion anisotropy. In: Johansen-Berg H, Behrens TEJ (eds) Diffusion MRI. From quantitative measurements to in-vivo neuroanatomy. Elsevier, Amsterdam, pp 155–178Google Scholar