Wolf-Julian Neumann1, Katharina Degen1, Gerd-Helge Schneider2, Christof Brücke1, Julius Huebl1, Peter Brown3, Andrea A Kühn1,4,5,6. 1. Department of Neurology, Campus Virchow Klinikum, Charité-University Medicine Berlin, Berlin, Germany. 2. Department of Neurosurgery, Campus Virchow Klinikum, Charité-University Medicine Berlin, Berlin, Germany. 3. Nuffield Department of Clinical Neurosciences and Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, UK. 4. Berlin School of Mind and Brain, Charité-University Medicine Berlin, Berlin, Germany. 5. NeuroCure, Charité-University Medicine Berlin, Berlin, Germany. 6. Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Berlin, Germany.
Abstract
OBJECTIVE: Beta band oscillations in the subthalamic nucleus (STN) have been proposed as a pathophysiological signature in patients with Parkinson's disease (PD). The aim of this study was to investigate the potential association between oscillatory activity in the STN and symptom severity in PD. METHODS: Subthalamic local field potentials were recorded from 63 PD patients in a dopaminergic OFF state. Power-spectra were analyzed for the frequency range from 5 to 95 Hz and correlated with individual UPDRS-III motor scores in the OFF state. RESULTS: A correlation between total UPDRS-III scores and 8 to 35 Hz activity was revealed across all patients (ρ = 0.44, P < .0001). When correlating each frequency bin, a narrow range from 10 to 15 Hz remained significant for the correlation (false discovery rate corrected P < .05). CONCLUSION: Our results show a correlation between local STN 8 to 35 Hz power and impairment in PD, further supporting the role of subthalamic oscillatory activity as a potential biomarker for PD.
OBJECTIVE: Beta band oscillations in the subthalamic nucleus (STN) have been proposed as a pathophysiological signature in patients with Parkinson's disease (PD). The aim of this study was to investigate the potential association between oscillatory activity in the STN and symptom severity in PD. METHODS: Subthalamic local field potentials were recorded from 63 PD patients in a dopaminergic OFF state. Power-spectra were analyzed for the frequency range from 5 to 95 Hz and correlated with individual UPDRS-III motor scores in the OFF state. RESULTS: A correlation between total UPDRS-III scores and 8 to 35 Hz activity was revealed across all patients (ρ = 0.44, P < .0001). When correlating each frequency bin, a narrow range from 10 to 15 Hz remained significant for the correlation (false discovery rate corrected P < .05). CONCLUSION: Our results show a correlation between local STN 8 to 35 Hz power and impairment in PD, further supporting the role of subthalamic oscillatory activity as a potential biomarker for PD.
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