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INVESTIGATING THE VARIATIONS IN THE BRAIN ACTIVITY BETWEEN HEALTHY SUBJECTS AND MILD COGNITIVE IMPAIRMENT (MCI) PATIENTS

NAJMEH PAKNIYAT

https://orcid.org/0009-0004-2566-701X

30 Shore Breeze Drive, Toronto ON, Canada M8V 0J1, Canada

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BALAMURALI RAMAKRISHNAN

https://orcid.org/0000-0001-8412-9466

Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India

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V. PALLAVI

https://orcid.org/0009-0007-1942-3643

Computer Science and Engineering, Vemu Institute of Technology, Tirupati-Chittoor Highway, P. Kothakota, Chittoor 517112, Andhra Pradesh, India

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ONDREJ KREJCAR

https://orcid.org/0000-0002-5992-2574

Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering Technical, University of Kosice, Slovakia

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ROBERT FRISCHER

https://orcid.org/0000-0003-0566-6170

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

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, and

HAMIDREZA NAMAZI

https://orcid.org/0000-0002-6354-1985

Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia

School of Engineering, Monash University, Selangor, Malaysia

E-mail Address: hamidreza.namazi@monash.edu

Corresponding author.

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https://doi.org/10.1142/S0218348X23501244Cited by:9 (Source: Crossref)

Abstract

Analysis of brain activity for patients with brain disorders is an important research area. Mild cognitive impairment (MCI) is a condition in which patients have more memory or thinking problems compared to healthy people of the same age. In this work, we studied the alterations in brain activity among control subjects and patients with MCI. Three complexity techniques, namely sample entropy, approximate entropy, and fractal dimension, were employed to study electroencephalogram (EEG) signals recorded from 102 control (healthy) subjects, and seven subjects with MCI in a comfortable position, on a bed, with their eyes closed. The results showed that the EEG signals of patients with MCI show greater complexity than the EEG signals of healthy subjects. This analysis method can be applied to compare brain activity among healthy subjects and patients with other brain diseases.

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Vol. 31, No. 09

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Received 23 July 2023

Accepted 13 September 2023

Published: October 11, 2023

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This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND) License which permits use, distribution and reproduction, provided that the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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INVESTIGATING THE VARIATIONS IN THE BRAIN ACTIVITY BETWEEN HEALTHY SUBJECTS AND MILD COGNITIVE IMPAIRMENT (MCI) PATIENTS

Abstract

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