Quantitative EEG reflects non-dopaminergic disease severity in Parkinson's disease

Victor J Geraedts, Johan Marinus, Alida A Gouw, Arne Mosch, Cornelis J Stam, Jacobus J van Hilten, Maria Fiorella Contarino, Martijn R Tannemaat

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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.

Original languageEnglish
Pages (from-to)1748-1755
Number of pages8
JournalClinical Neurophysiology
Issue number8
Early online date29 May 2018
Publication statusPublished - 1 Aug 2018

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