Characterizing Alzheimer's Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis

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art_KANDA_Characterizing_Alzheimer_s_Disease_Severity_via_Resting_Awake_2013.PDF (465.04 KB)
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68
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article
Data de publicação
2013
Editora
PUBLIC LIBRARY SCIENCE
DOI
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Scopus
Web of Science
PubMed
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Autores
FRAGA, Francisco J.
FALK, Tiago H.
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Citação
PLOS ONE, v.8, n.8, article ID e72240, 7p, 2013
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Unidades Organizacionais
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Resumo
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.
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https://observatorio.fm.usp.br/handle/OPI/4303
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Coleções
Artigos e Materiais de Revistas Científicas - HC/IMREA
Artigos e Materiais de Revistas Científicas - LIM/45