Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm

Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm

IntroductionThe main objective of this study is to evaluate working memory and determine EEG biomarkers that can assist in the field of health neuroscience. Our ultimate goal is to utilize this approach to predict the early signs of mild cognitive impairment (MCI) in healthy elderly individuals, whi...

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Bibliographic Details
Main Authors: Tomasz M. Rutkowski, Tomasz Komendziński, Mihoko Otake-Matsuura
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
EEG
biomarker
mild cognitive impairment (MCI)
machine learning (ML)
prevention
topological data analysis (TDA)
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2023.1294139/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1294139/full

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