Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease
Elkholy, M., Aboubakr, H., Abd ElMonem, N., Soliman, R., Masoud, M. (2022). Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease. EKB Journal Management System, 3(1), 313-322. doi: 10.21608/ejmr.2022.222940
Mostafa M. Elkholy; Hossam H Aboubakr; Noha A. Abd ElMonem; Rasha H Soliman; Mohammed M. Masoud. "Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease". EKB Journal Management System, 3, 1, 2022, 313-322. doi: 10.21608/ejmr.2022.222940
Elkholy, M., Aboubakr, H., Abd ElMonem, N., Soliman, R., Masoud, M. (2022). 'Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease', EKB Journal Management System, 3(1), pp. 313-322. doi: 10.21608/ejmr.2022.222940
Elkholy, M., Aboubakr, H., Abd ElMonem, N., Soliman, R., Masoud, M. Quantitative EEG Spectral Power Ratio As Cognitive Biomarker For Patients With Parkinson Disease. EKB Journal Management System, 2022; 3(1): 313-322. doi: 10.21608/ejmr.2022.222940

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

Egyptian Journal of Medical Research
Article 24, Volume 3, Issue 1, January 2022, Pages 313-322    PDF (370.4 K)
Document Type: Original Article
DOI: 10.21608/ejmr.2022.222940
Authors
Mostafa M. Elkholy1; Hossam H Aboubakr2; Noha A. Abd ElMonem2; Rasha H Soliman2; Mohammed M. Masoud2
1Department of Clinical Neurophysiology (Neuro-Diagnostic and Research Center), Faculty of Medicine, Beni-Suef University, Egypt
2Department of Neurology, Faculty of Medicine, Beni-Suef University, Egypt
Abstract
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.
Keywords
Quantitative EEG; Spectral power ratio; Parkinson disease, Cognitive decline, Mild cognitive impairment
References
 

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