Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease

Background: Cognitive decline in patients with Parkinson disease (PD) is a major and progressing health problem that needs reliable and objective assessment tools. Aim: Toexplore the value of EEG spectral ratio as cognitive biomarker in patients with PD. Methods: This cross-sectional case control st...

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Bibliographic Details
Main Authors: Mostafa Elkholy, Hossam Aboubakr, Noha Abd ElMonem, Rasha Soliman, Mohammed Masoud
Format: Article
Language:English
Published: Beni-Suef University, Faculty of Medicine 2022-01-01
Series:Egyptian Journal of Medical Research
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Online Access:https://ejmr.journals.ekb.eg/article_222940_601286908ac8f389d7be0e5fb6be2751.pdf
Description
Summary:Background: Cognitive decline in patients with Parkinson disease (PD) is a major and progressing health problem that needs reliable and objective assessment tools. Aim: Toexplore the value of EEG spectral ratio as cognitive biomarker in patients with PD. Methods: This cross-sectional case control study enrolled 35 patients with PD and 20 matched healthy controls. All participants were evaluated by quantitative electroencephalography (EEG) spectral power ratio (slow/fast) over different head regions, in addition to clinical and neuropsychological assessment of the patients using Unified Parkinson’s Disease Rating Scale (UPDRS) and Montreal Cognitive Assessment (MoCA). Results: The UPDRS score of the patients was (mean 46.8 ± SD 26.6) and total MoCA score was (mean 20.3 ± SD 5.7). Twenty four of PD patients had cognitive impairment (MoCA <26) and showed significant higher spectral power ratio over the occipital region compared to PD patients with normal cognition (P=0.028). No significant differences of spectral power ratio between PD patients and controls. No significant correlation was found between power spectral ratio, UPDRS and MoCA scores. Conclusions: The occipital EEG spectral power ratio could be used as a complementary tool to neuropsychological assessment in evaluation and follow up of cognitive decline in patients with PD.
ISSN:2682-4396
2682-440X