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

MPG-Autoren
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Torrecuso,  Renzo
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Mueller,  Karsten
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague;
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Holiga,  Štefan
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Roche Pharma Research and Early Development, Roche Innovation Center ;

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Schroeter,  Matthias L.
Clinic for Cognitive Neurology, Leipzig University Hospital;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Möller,  Harald E.
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Externe Ressourcen

https://archive.ismrm.org/2020/3927.html
(Verlagsversion)

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Zitation

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.


Zitierlink: https://hdl.handle.net/21.11116/0000-000A-E8C1-6
Zusammenfassung
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.