Victor J Geraedts1, Johan Marinus2, Alida A Gouw3, Arne Mosch4, Cornelis J Stam3, Jacobus J van Hilten2, Maria Fiorella Contarino5, Martijn R Tannemaat2. 1. Department of Neurology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, The Netherlands; Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands. 2. Department of Neurology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. 3. Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands. 4. Department of Neurology, Haga Teaching Hospital, Els Borst-Eilersplein 275, 2545 AA Den Haag, The Netherlands. 5. Department of Neurology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, The Netherlands; Department of Neurology, Haga Teaching Hospital, Els Borst-Eilersplein 275, 2545 AA Den Haag, The Netherlands. Electronic address: m.f.contarino@lumc.nl.
Abstract
OBJECTIVE: In Parkinson's Disease (PD), measures of non-dopaminergic systems involvement may reflect disease severity and therefore contribute to patient-selection for Deep Brain Stimulation (DBS). There is currently no determinant for non-dopaminergic disease severity. In this exploratory study, we investigated whether quantitative EEG reflects non-dopaminergic disease severity in PD. METHODS: Sixty-three consecutive PD patients screened for DBS were included (mean age 62.4 ± 7.2 years, 32% females). Relative spectral powers and the Phase-Lag-Index (PLI) reflecting functional connectivity were analysed on routine EEGs. Non-dopaminergic disease severity was quantified using the SENS-PD score and its subdomains; motor-severity was quantified using the MDS-UPDRS III. RESULTS: The SENS-PD composite score correlated with a spectral ratio ((δ + θ)/(α1 + α2 + β) powers) (global spectral ratio Pearson's r = 0.4, 95% Confidence Interval (95%CI) 0.1-0.6), and PLI in the α2 band (10-13 Hz) (r = -0.3, 95%CI -0.5 to -0.1). These correlations seem driven by the subdomains cognition and psychotic symptoms. MDS-UPDRS III was not significantly correlated with EEG parameters. CONCLUSIONS: EEG slowing and reduced functional connectivity in the α2 band were associated with non-dopaminergic disease severity in PD. SIGNIFICANCE: The described EEG parameters may have complementary utility as determinants of non-dopaminergic involvement in PD.
OBJECTIVE: In Parkinson's Disease (PD), measures of non-dopaminergic systems involvement may reflect disease severity and therefore contribute to patient-selection for Deep Brain Stimulation (DBS). There is currently no determinant for non-dopaminergic disease severity. In this exploratory study, we investigated whether quantitative EEG reflects non-dopaminergic disease severity in PD. METHODS: Sixty-three consecutive PDpatients screened for DBS were included (mean age 62.4 ± 7.2 years, 32% females). Relative spectral powers and the Phase-Lag-Index (PLI) reflecting functional connectivity were analysed on routine EEGs. Non-dopaminergic disease severity was quantified using the SENS-PD score and its subdomains; motor-severity was quantified using the MDS-UPDRS III. RESULTS: The SENS-PD composite score correlated with a spectral ratio ((δ + θ)/(α1 + α2 + β) powers) (global spectral ratio Pearson's r = 0.4, 95% Confidence Interval (95%CI) 0.1-0.6), and PLI in the α2 band (10-13 Hz) (r = -0.3, 95%CI -0.5 to -0.1). These correlations seem driven by the subdomains cognition and psychotic symptoms. MDS-UPDRS III was not significantly correlated with EEG parameters. CONCLUSIONS: EEG slowing and reduced functional connectivity in the α2 band were associated with non-dopaminergic disease severity in PD. SIGNIFICANCE: The described EEG parameters may have complementary utility as determinants of non-dopaminergic involvement in PD.
Authors: Martina Bočková; Eva Výtvarová; Martin Lamoš; Petr Klimeš; Pavel Jurák; Josef Halámek; Sabina Goldemundová; Marek Baláž; Ivan Rektor Journal: Hum Brain Mapp Date: 2021-08-27 Impact factor: 5.038