The Increase of Theta Power and Decrease of Alpha/Theta Ratio as a Manifestation of Cognitive Impairment in Parkinson’s Disease

Author:

Zawiślak-Fornagiel Katarzyna1ORCID,Ledwoń Daniel2ORCID,Bugdol Monika2ORCID,Romaniszyn-Kania Patrycja2ORCID,Małecki Andrzej3,Gorzkowska Agnieszka4ORCID,Mitas Andrzej W.2ORCID

Affiliation:

1. Department of Neurology, University Clinical Center Prof. K. Gibiński, Medical University of Silesia, 40-752 Katowice, Poland

2. Faculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland

3. Institute of Physiotherapy and Health Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, 40-065 Katowice, Poland

4. Department of Neurorehabilitation, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland

Abstract

In this study, we aim to assess and examine cognitive functions in Parkinson’s Disease patients using EEG recordings, with a central focus on characteristics associated with a cognitive decline. Based on neuropsychological evaluation using Mini-Mental State Examination, Montreal Cognitive Assessment, and Addenbrooke’s Cognitive Examination-III, 98 participants were divided into three cognitive groups. All the particpants of the study underwent EEG recordings with spectral analysis. The results revealed an increase in the absolute theta power in patients with Parkinson’s disease dementia (PD-D) compared to cognitively normal status (PD-CogN, p=0.00997) and a decrease in global relative beta power in PD-D compared to PD-CogN (p=0.0413). An increase in theta relative power in the left temporal region (p=0.0262), left occipital region (p=0.0109), and right occipital region (p=0.0221) were observed in PD-D compared to PD-N. The global alpha/theta ratio and global power spectral ratio significantly decreased in PD-D compared to PD-N (p = 0.001). In conclusion, the increase in relative theta power and the decrease in relative beta power are characteristic changes in EEG recordings in PD patients with cognitive impairment. Identifying these changes can be a useful biomarker and a complementary tool in the neuropsychological diagnosis of cognitive impairment in Parkinson’s Disease.

Funder

TeleBrain—Artificially Intelligent EEG Analysis in the Cloud

Polish Ministry of Science and Silesian University of Technology statutory financial

Publisher

MDPI AG

Subject

General Medicine

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