Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task

Background: Previous work showed that elderly with excess in theta activity in their resting state electroencephalogram (EEG) are at higher risk of cognitive decline than those with a normal EEG. By using event-related potentials (ERP) during a counting Stroop task, our prior work showed that elderl...

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Autores principales: Sánchez-Moguel, Sergio M, Baravalle, Román, González-Salinas, Sofía, Rosso, Osvaldo Aníbal, Fernández, Thalía, Montani, Fernando Fabián
Formato: Articulo
Lenguaje:Inglés
Publicado: 2022
Materias:
Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160443
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160443
record_format dspace
spelling I19-R120-10915-1604432023-11-23T20:43:12Z http://sedici.unlp.edu.ar/handle/10915/160443 Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task Sánchez-Moguel, Sergio M Baravalle, Román González-Salinas, Sofía Rosso, Osvaldo Aníbal Fernández, Thalía Montani, Fernando Fabián 2022-04-26 2023-11-23T13:48:12Z en Física EEG Wavelets Event-related potent Elderly Cognitive impairment Stroop effect Background: Previous work showed that elderly with excess in theta activity in their resting state electroencephalogram (EEG) are at higher risk of cognitive decline than those with a normal EEG. By using event-related potentials (ERP) during a counting Stroop task, our prior work showed that elderly with theta excess have a large P300 component compared with normal EEG group. This increased activity could be related to a higher EEG signal energy used during this task. New method: By wavelet analysis applied to ERP obtained during a counting Stroop task we quantified the energy in the different frequency bands of a group of elderly with altered EEG. Results: In theta and alpha bands, the total energy was higher in elderly subjects with theta excess, specifically in the stimulus categorization window (258–516 ms). Both groups solved the task with similar efficiency. Comparison with existing methods: The traditional ERP analysis in elderly compares voltage among conditions and groups for a given time window, while the frequency composition is not usually examined. We complemented our previous ERP analysis using a wavelet methodology. Furthermore, we showed the advantages of wavelet analysis over Short Time Fourier Transform when exploring EEG signal during this task. Conclusions: The higher EEG signal energy in ERP might reflect undergoing neurobiological mechanisms that allow the elderly with theta excess to cope with the cognitive task with similar behavioral results as the normal EEG group. This increased energy could promote a metabolic and cellular dysregulation causing a greater decline in cognitive function. Instituto de Física La Plata Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
spellingShingle Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
Sánchez-Moguel, Sergio M
Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
topic_facet Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
description Background: Previous work showed that elderly with excess in theta activity in their resting state electroencephalogram (EEG) are at higher risk of cognitive decline than those with a normal EEG. By using event-related potentials (ERP) during a counting Stroop task, our prior work showed that elderly with theta excess have a large P300 component compared with normal EEG group. This increased activity could be related to a higher EEG signal energy used during this task. New method: By wavelet analysis applied to ERP obtained during a counting Stroop task we quantified the energy in the different frequency bands of a group of elderly with altered EEG. Results: In theta and alpha bands, the total energy was higher in elderly subjects with theta excess, specifically in the stimulus categorization window (258–516 ms). Both groups solved the task with similar efficiency. Comparison with existing methods: The traditional ERP analysis in elderly compares voltage among conditions and groups for a given time window, while the frequency composition is not usually examined. We complemented our previous ERP analysis using a wavelet methodology. Furthermore, we showed the advantages of wavelet analysis over Short Time Fourier Transform when exploring EEG signal during this task. Conclusions: The higher EEG signal energy in ERP might reflect undergoing neurobiological mechanisms that allow the elderly with theta excess to cope with the cognitive task with similar behavioral results as the normal EEG group. This increased energy could promote a metabolic and cellular dysregulation causing a greater decline in cognitive function.
format Articulo
Articulo
author Sánchez-Moguel, Sergio M
Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
author_facet Sánchez-Moguel, Sergio M
Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
author_sort Sánchez-Moguel, Sergio M
title Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title_short Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title_full Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title_fullStr Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title_full_unstemmed Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title_sort abnormal eeg signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/160443
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