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222940

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

Article

Last updated: 25 Dec 2024

Subjects

-

Tags

Diagnostic

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.

DOI

10.21608/ejmr.2022.222940

Keywords

Quantitative EEG, Spectral power ratio, Parkinson disease, Cognitive decline, Mild cognitive impairment

Authors

First Name

Mostafa

Last Name

Elkholy

MiddleName

M.

Affiliation

Department of Clinical Neurophysiology (Neuro-Diagnostic and Research Center), Faculty of Medicine, Beni-Suef University, Egypt

Email

mostafaelkholy1983@yahoo.com

City

-

Orcid

0000-0002-4954-5883

First Name

Hossam

Last Name

Aboubakr

MiddleName

H

Affiliation

Department of Neurology, Faculty of Medicine, Beni-Suef University, Egypt

Email

drhosamneuro@yahoo.com

City

-

Orcid

-

First Name

Noha

Last Name

Abd ElMonem

MiddleName

A.

Affiliation

Department of Neurology, Faculty of Medicine, Beni-Suef University, Egypt

Email

-

City

-

Orcid

-

First Name

Rasha

Last Name

Soliman

MiddleName

H

Affiliation

Department of Neurology, Faculty of Medicine, Beni-Suef University, Egypt

Email

rashasoliman232@gmail.com

City

-

Orcid

-

First Name

Mohammed

Last Name

Masoud

MiddleName

M.

Affiliation

Department of Neurology, Faculty of Medicine, Beni-Suef University, Egypt

Email

m_4neuro@yahoo.com

City

-

Orcid

-

Volume

3

Article Issue

1

Related Issue

30429

Issue Date

2022-01-01

Receive Date

2022-03-05

Publish Date

2022-01-01

Page Start

313

Page End

322

Print ISSN

2682-4396

Online ISSN

2682-440X

Link

https://ejmr.journals.ekb.eg/article_222940.html

Detail API

https://ejmr.journals.ekb.eg/service?article_code=222940

Order

24

Type

Original Article

Type Code

1,224

Publication Type

Journal

Publication Title

Egyptian Journal of Medical Research

Publication Link

https://ejmr.journals.ekb.eg/

MainTitle

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

Details

Type

Article

Created At

22 Jan 2023