EEG low conventional bands non‐linear machine learning‐based analysis for Classifying MCI and sleep quality as a function of brain complexity

Specific machine learning classifiers distinguish excellently sleep quality in MCI using spatiotemporal complexity features from slow EEG subbands. The most relevant channels for group discrimination were primarily located in bilateral temporal regions of the neocortex known to be among the first affected in amnestic MCI, as previously shown in neuroimaging studies. Future longitudinal studies could investigate whether changes in brain complexity within these slow-frequency temporal regions, influenced by sleep quality, are associated with an earlier or faster onset of dementia.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70861_108401
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43
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article

EEG low conventional bands non‐linear machine learning‐based analysis for Classifying MCI and sleep quality as a function of brain complexity

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1 citations
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EEG and Brain-Computer Interfaces
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article

EEG low conventional bands non‐linear machine learning‐based analysis for Classifying MCI and sleep quality as a function of brain complexity

Emrah Düzel, Alexander Sumich, Lucía Penalba‐Sánchez, Saeid Sanei, Ahmad Zandbagleh, Hamed Azami, Mark Crook‐Rumsey, Pedro M. Rodrigues, Dorothea Hämmerer, Pedro Baptista Ribeiro, Christina Howard
article en
1 citations

Abstract

Specific machine learning classifiers distinguish excellently sleep quality in MCI using spatiotemporal complexity features from slow EEG subbands. The most relevant channels for group discrimination were primarily located in bilateral temporal regions of the neocortex known to be among the first affected in amnestic MCI, as previously shown in neuroimaging studies. Future longitudinal studies could investigate whether changes in brain complexity within these slow-frequency temporal regions, influenced by sleep quality, are associated with an earlier or faster onset of dementia.

Alzheimer s & DementiaVol. 21(S7)
Centre for Addiction and Mental Health (CA), University of Applied Science and Technology (IR), King's College London (GB), University of Toronto (CA), Universität Innsbruck (AT), Universidade Católica Portuguesa (PT), German Center for Neurodegenerative Diseases (DE), Health University of Applied Sciences Tyrol (AT), UK Dementia Research Institute (GB), Center for Behavioral Brain Sciences (DE), University Hospital Magdeburg (DE), University College London (GB), Imperial College London (GB), Nottingham Trent University (GB), Iran University of Science and Technology (IR), Otto-von-Guericke-Universität Magdeburg (DE)
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Openalex Percentile: Top 13%
EEG and Brain-Computer Interfaces
1.43
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