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  Improving brain imaging in Parkinson's disease by accounting for simultaneous motor output

Torrecuso, R., Mueller, K., Holiga, Š., Sieger, T., Vymazal, J., Růžička, F., et al. (2020). Improving brain imaging in Parkinson's disease by accounting for simultaneous motor output. In Proceedings of the ISMRM 28th Annual Meeting & Exhibition.

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Torrecuso, Renzo1, Author           
Mueller, Karsten1, 2, 3, Author           
Holiga, Štefan1, 4, Author           
Sieger, Tomas2, Author
Vymazal, Josef5, Author
Růžička , Filip2, 5, Author
Roth, Jan2, 5, Author
Růžička , Evzen2, Author
Schroeter, Matthias L.6, 7, Author           
Jech, Robert2, 5, Author
Möller, Harald E.1, Author           
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
2Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, Prague, Czech Republic., ou_persistent22              
3Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_3282987              
4Roche Pharma Research and Early Development, Roche Innovation Center , Basel, Switzerland., ou_persistent22              
5Na Homolce Hospital, Prague, Czech Republic, ou_persistent22              
6Clinic for Cognitive Neurology, Leipzig University Hospital, Leipzig, Germany, ou_persistent22              
7Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 Abstract: Parkinson's disease leads to a variety of movement impairments. While studying the disease with fMRI, the main motivation for the research becomes one of its major obstacles: the motor output is unpredictable. Therefore it is troublesome to access, inside the scanner, performances of motor tasks and reliably relate them to brain measurements. We proposed to overcome this by expanding the patients’ number and restricting statistical criteria from a previous study which used a glove with non-magnetic sensors during scanning. Our results revealed basal ganglia not observed in the previous study confirming the usefulness of the device in fMRI studies.

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 Dates: 2020
 Publication Status: Published in print
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Title: Proceedings of the ISMRM 28th Annual Meeting & Exhibition
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