Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.

Changes in electroencephalography (EEG) amplitude modulations have recently been linked with early-stage Alzheimer's disease (AD). Existing tools available to perform such analysis (e.g., detrended fluctuation analysis), however, provide limited gains in discriminability power over traditional...

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Autores principales:	Francisco J Fraga, Tiago H Falk, Paulo A M Kanda, Renato Anghinah
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/318eacd2e679471fa5a9c5bbdff2e8bb
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id	oai:doaj.org-article:318eacd2e679471fa5a9c5bbdff2e8bb
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spelling	oai:doaj.org-article:318eacd2e679471fa5a9c5bbdff2e8bb2021-11-18T08:58:00ZCharacterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.1932-620310.1371/journal.pone.0072240https://doaj.org/article/318eacd2e679471fa5a9c5bbdff2e8bb2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24015222/?tool=EBIhttps://doaj.org/toc/1932-6203Changes in electroencephalography (EEG) amplitude modulations have recently been linked with early-stage Alzheimer's disease (AD). Existing tools available to perform such analysis (e.g., detrended fluctuation analysis), however, provide limited gains in discriminability power over traditional spectral based EEG analysis. In this paper, we explore the use of an innovative EEG amplitude modulation analysis technique based on spectro-temporal signal processing. More specifically, full-band EEG signals are first decomposed into the five well-known frequency bands and the envelopes are then extracted via a Hilbert transform. Each of the five envelopes are further decomposed into four so-called modulation bands, which were chosen to coincide with the delta, theta, alpha and beta frequency bands. Experiments on a resting-awake EEG dataset collected from 76 participants (27 healthy controls, 27 diagnosed with mild-AD, and 22 with moderate-AD) showed significant differences in amplitude modulations between the three groups. Most notably, i) delta modulation of the beta frequency band disappeared with an increase in disease severity (from mild to moderate AD), ii) delta modulation of the theta band appeared with an increase in severity, and iii) delta modulation of the beta frequency band showed to be a reliable discriminant feature between healthy controls and mild-AD patients. Taken together, it is hoped that the developed tool can be used to assist clinicians not only with early detection of Alzheimer's disease, but also to monitor its progression.Francisco J FragaTiago H FalkPaulo A M KandaRenato AnghinahPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e72240 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Francisco J Fraga Tiago H Falk Paulo A M Kanda Renato Anghinah Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
description	Changes in electroencephalography (EEG) amplitude modulations have recently been linked with early-stage Alzheimer's disease (AD). Existing tools available to perform such analysis (e.g., detrended fluctuation analysis), however, provide limited gains in discriminability power over traditional spectral based EEG analysis. In this paper, we explore the use of an innovative EEG amplitude modulation analysis technique based on spectro-temporal signal processing. More specifically, full-band EEG signals are first decomposed into the five well-known frequency bands and the envelopes are then extracted via a Hilbert transform. Each of the five envelopes are further decomposed into four so-called modulation bands, which were chosen to coincide with the delta, theta, alpha and beta frequency bands. Experiments on a resting-awake EEG dataset collected from 76 participants (27 healthy controls, 27 diagnosed with mild-AD, and 22 with moderate-AD) showed significant differences in amplitude modulations between the three groups. Most notably, i) delta modulation of the beta frequency band disappeared with an increase in disease severity (from mild to moderate AD), ii) delta modulation of the theta band appeared with an increase in severity, and iii) delta modulation of the beta frequency band showed to be a reliable discriminant feature between healthy controls and mild-AD patients. Taken together, it is hoped that the developed tool can be used to assist clinicians not only with early detection of Alzheimer's disease, but also to monitor its progression.
format	article
author	Francisco J Fraga Tiago H Falk Paulo A M Kanda Renato Anghinah
author_facet	Francisco J Fraga Tiago H Falk Paulo A M Kanda Renato Anghinah
author_sort	Francisco J Fraga
title	Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
title_short	Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
title_full	Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
title_fullStr	Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
title_full_unstemmed	Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.
title_sort	characterizing alzheimer's disease severity via resting-awake eeg amplitude modulation analysis.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/318eacd2e679471fa5a9c5bbdff2e8bb
work_keys_str_mv	AT franciscojfraga characterizingalzheimersdiseaseseverityviarestingawakeeegamplitudemodulationanalysis AT tiagohfalk characterizingalzheimersdiseaseseverityviarestingawakeeegamplitudemodulationanalysis AT pauloamkanda characterizingalzheimersdiseaseseverityviarestingawakeeegamplitudemodulationanalysis AT renatoanghinah characterizingalzheimersdiseaseseverityviarestingawakeeegamplitudemodulationanalysis
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Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.

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