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Abstract #1254

Different Brain Areas Require Different Analysis Models—fMRI Observations in Parkinson’s Disease.

Renzo Torrecuso1, Karsten Mueller1, Stefan Holiga1,2, Dusan Urgosik3, Josef Vymazal4, Tomas Sieger5, Filip Růžička6, Evzen Růžička7, Matthias Schroeter8, Robert Jech3, and Harald E. Möller1
1NMR, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland, 3Department of Neurology, Charles University in Prague | CUNI, Prague, Czech Republic, 4| CULS · Faculty of Environmental Science, Czech University of Life Sciences Prague, Prague, Czech Republic, 5Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, Prague, Czech Republic, 6Department of Environmental Engineering, Faculty of Technology Tomas Bata University in Zlín, Zlin, Czech Republic, 7Neurology, General University Hospital in Prague, Prague, Czech Republic, 8Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany


Foreseeing how specific brain areas respond in time to a stimulus can be a prerequisite for a successfully conceived fMRI experiment. We demonstrate that in medicated Parkinson’s disease patients, putamen's activation peaks around the onset of tapping but does not persist throughout the tapping block, whereas sustained activation is observed in the motor cortex. Consequently, in the widely used tapping paradigm “On vs. Off L-DOPA”, the drug effect remains undetected if statistical analysis apply a block design instead of an event-related one. Ignoring this information can lead to fallacious conclusions which suggests using different models to investigate different brain regions.

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