Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease

Enricomaria Mormina, Alessandro Arrigo, Alessandro Calamuneri, Francesca Granata, Angelo Quartarone, Maria F. Ghilardi, Matilde Inglese, Alessandro Di Rocco, Demetrio Milardi, Giuseppe P. Anastasi, Michele Gaeta

Research output: Contribution to journalArticlepeer-review


Introduction: 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. Methods: 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. Results: 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. Conclusions: 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.

Original languageEnglish
Pages (from-to)327-334
Number of pages8
Issue number3
Publication statusPublished - 2015


  • Diffusion tensor imaging
  • FA
  • MRI
  • Parkinson’s disease
  • Probabilistic tractography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine


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