Pavel Filip1,2, Cécile Gallea3, Stéphane Lehéricy3, Eric Bertasi3, Traian Popa3, Radek Mareček4, Ovidiu V Lungu5,6, Tomáš Kašpárek1,7, Jiří Vaníček8, Martin Bareš1,2,9. 1. Central European Institute of Technology, Central European Institute of Technology, Masaryk University (CEITEC MU), Behavioral and Social Neuroscience Research Group, Masaryk University, Brno, Czech Republic. 2. First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's Teaching Hospital, Brno, Czech Republic. 3. Institut du Cerveau et de la Moelle épinière-ICM, Centre de NeuroImagerie de Recherche-Centre de Neuro-Imagerie de Recherche, Sorbonne Universités, University Pierre and Marie CURIE Univ Paris 06, University of Minnesota Rochester (UMR) S 1127, Centre national de la recherche scientifique (CNRS) UMR 7225, ICM, F-75013, ICM team Control of Normal and Abnormal Movement, Paris, France. 4. Central European Institute of Technology, CEITEC MU, Multimodal and Functional Neuroimaging Research Group, Masaryk University, Brno, Czech Republic. 5. Department of Psychiatry, Université de Montréal, Montréal, Québec, Canada. 6. Functional Neuroimaging Unit, Research Center of the Geriatric Institute affiliated with the Université de Montréal, Montréal, Québec, Canada. 7. Department of Psychiatry, Faculty of Medicine, Masaryk University and Teaching Hospital Brno, Brno, Czech Republic. 8. Department of Imaging Methods, Masaryk University and St. Anne's Teaching Hospital, Brno, Czech Republic. 9. Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, USA.
Abstract
BACKGROUND: Although dystonia is traditionally conceptualized as a basal ganglia disorder, increasing interest has been directed at a different neural network node, the cerebellum, which may play a significant role in the pathophysiology of dystonia. Abnormal sensorimotor processing and disturbed motor schemes, possibly attributable to cerebellar changes, remain unclear. METHODS: We sought to characterize the extent of cerebellar dysfunction within the motor network using functional MRI activation analysis, connectivity analysis, and voxel-based morphometry in cervical dystonia patients (n = 25, 15 women, mean age 45.8 years) and healthy volunteers (n = 25, 15 women, mean age 44.7 years) in a visuospatial task requiring predictive motor timing. RESULTS: Cervical dystonia patients showed decreased activation in the posterior cerebellar lobules as well as in the premotor areas, the associative parietal cortex, and visual regions. Patients also had decreased cerebellar connectivity with bilateral basal ganglia structures and the dorsolateral prefrontal cortex. CONCLUSIONS: This promotes the view that dystonia results from miscommunication between the basal ganglia and cerebellar loops, thus providing new insights into the brain regions essential for the development of cervical dystonia.
BACKGROUND: Although dystonia is traditionally conceptualized as a basal ganglia disorder, increasing interest has been directed at a different neural network node, the cerebellum, which may play a significant role in the pathophysiology of dystonia. Abnormal sensorimotor processing and disturbed motor schemes, possibly attributable to cerebellar changes, remain unclear. METHODS: We sought to characterize the extent of cerebellar dysfunction within the motor network using functional MRI activation analysis, connectivity analysis, and voxel-based morphometry in cervical dystoniapatients (n = 25, 15 women, mean age 45.8 years) and healthy volunteers (n = 25, 15 women, mean age 44.7 years) in a visuospatial task requiring predictive motor timing. RESULTS:Cervical dystoniapatients showed decreased activation in the posterior cerebellar lobules as well as in the premotor areas, the associative parietal cortex, and visual regions. Patients also had decreased cerebellar connectivity with bilateral basal ganglia structures and the dorsolateral prefrontal cortex. CONCLUSIONS: This promotes the view that dystonia results from miscommunication between the basal ganglia and cerebellar loops, thus providing new insights into the brain regions essential for the development of cervical dystonia.
Authors: Aristide Merola; Alok K Dwivedi; Aasef G Shaikh; Tamour Khan Tareen; Gustavo A Da Prat; Marcelo A Kauffman; Jennie Hampf; Abhimanyu Mahajan; Luca Marsili; Joseph Jankovic; Cynthia L Comella; Brian D Berman; Joel S Perlmutter; Hyder A Jinnah; Alberto J Espay Journal: J Neurol Date: 2019-04-26 Impact factor: 4.849
Authors: Martin Bareš; Richard Apps; Laura Avanzino; Assaf Breska; Egidio D'Angelo; Pavel Filip; Marcus Gerwig; Richard B Ivry; Charlotte L Lawrenson; Elan D Louis; Nicholas A Lusk; Mario Manto; Warren H Meck; Hiroshi Mitoma; Elijah A Petter Journal: Cerebellum Date: 2019-04 Impact factor: 3.847
Authors: Brian D Berman; Christopher L Groth; Erica Shelton; Stefan H Sillau; Brianne Sutton; Kristina T Legget; Jason R Tregellas Journal: J Neurosci Res Date: 2019-11-06 Impact factor: 4.164
Authors: Ruo-Yah Lai; Darya Tomishon; Karla P Figueroa; Stefan M Pulst; Susan Perlman; George Wilmot; Christopher M Gomez; Jeremy D Schmahmann; Henry Paulson; Vikram G Shakkottai; Sarah H Ying; Theresa Zesiewicz; Khalaf Bushara; Michael Geschwind; Guangbin Xia; S H Subramony; Tetsuo Ashizawa; Sheng-Han Kuo Journal: Cerebellum Date: 2019-06 Impact factor: 3.847
Authors: Anthony M Downs; Kaitlyn M Roman; Simone A Campbell; Antonio Pisani; Ellen J Hess; Paola Bonsi Journal: Neurobiol Dis Date: 2019-07-04 Impact factor: 5.996