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Predictive performance of EEG theta spectral power over developing dementia in Parkinson’s disease

V.V. Cozac, M. Chaturvedi, U. Gschwandtner, F. Hatz, A. Meyer, K. Nowak, R. Sturzenegger, P. Fuhr (Basel, Switzerland)

Meeting: 2016 International Congress

Abstract Number: 1371

Keywords: Dementia, Electroencephalogram(EEG), Parkinsonism

Session Information

Date: Wednesday, June 22, 2016

Session Title: Parkinson's disease: Cognition

Session Time: 12:00pm-1:30pm

Location: Exhibit Hall located in Hall B, Level 2

Objective: To investigate whether changes in EEG power spectra could predict development of dementia in Parkinson’s disease (PD-D).

Background: Different research groups have reported, that EEG slowing is associated with cognitive decline in PD.

Methods: Patients with PD were screened for selection criteria: idiopathic Parkinson’s disease (PD), absence of major cognitive and psychiatric dysfunctions according to Diagnostic and Statistical Manual of mental disorders IV, MMSE ≥24. A sample of 35 patients was followed-up (median ⦥: age 67 [31-84] years, education 15 [9-20] years, disease duration 5 [1-20] years, MMSE 29 [24-30], UPDRS-III 16 [0-50], Levodopa equivalent 700 [150-2130] mg/day; males: 65%. The patients were investigated at baseline and after 36 months for the outcome: development of PD-D. Clinical examinations included evaluations: motor (UPDRS-III), psychiatric (Beck Depression Inventory), medication (Levodopa equivalent), neuropsychological test battery (36 tests); high resolution EEG recording was performed, and global relative spectral powers calculated: delta (1-3.9 Hz), theta (4-7.9 Hz), alpha1 (8-9.9 Hz), alpha2 (10-12.9 Hz) and beta (13-30 Hz). Predictive performance of power spectra over developing PD-D in 3 years was evaluated with Spearman rank correlation coefficient and multiple linear regressions.

Results: Five patients developed PD-D after three years (14.3%). Development of PD-D correlated best with theta power at baseline (rho=0.59, p<0.01). Multiple regression model showed that theta power significantly predicted PD-D (adjusted R squared=0.58, p<0.01).

Conclusions: Global relative EEG theta power has good predictive performance for developing PD-D over three years. Due to the relatively small sample and short follow-up, further studies to identify markers of PD-D and to improve the predictive performance of EEG power spectra are required.

To cite this abstract in AMA style:

V.V. Cozac, M. Chaturvedi, U. Gschwandtner, F. Hatz, A. Meyer, K. Nowak, R. Sturzenegger, P. Fuhr. Predictive performance of EEG theta spectral power over developing dementia in Parkinson’s disease [abstract]. Mov Disord. 2016; 31 (suppl 2). https://www.mdsabstracts.org/abstract/predictive-performance-of-eeg-theta-spectral-power-over-developing-dementia-in-parkinsons-disease/. Accessed May 18, 2025.
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