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

Autores
Sánchez-Moguel, Sergio M; Baravalle, Román; González-Salinas, Sofía; Rosso, Osvaldo Aníbal; Fernández, Thalía; Montani, Fernando Fabián
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Materia
Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/160443
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/160443
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop taskSánchez-Moguel, Sergio MBaravalle, RománGonzález-Salinas, SofíaRosso, Osvaldo AníbalFernández, ThalíaMontani, Fernando FabiánFísicaEEGWaveletsEvent-related potentElderlyCognitive impairmentStroop effectBackground: 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 Plata2022-04-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/160443enginfo:eu-repo/semantics/altIdentifier/issn/0165-0270info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jneumeth.2022.109608info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:41:57Zoai:sedici.unlp.edu.ar:10915/160443Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:41:57.668SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
title Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
spellingShingle Abnormal EEG signal energy in the elderly: a wavelet analysis of event-related potentials during a stroop task
Sánchez-Moguel, Sergio M
Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
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
dc.creator.none.fl_str_mv Sánchez-Moguel, Sergio M
Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
author Sánchez-Moguel, Sergio M
author_facet Sánchez-Moguel, Sergio M
Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
author_role author
author2 Baravalle, Román
González-Salinas, Sofía
Rosso, Osvaldo Aníbal
Fernández, Thalía
Montani, Fernando Fabián
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
topic Física
EEG
Wavelets
Event-related potent
Elderly
Cognitive impairment
Stroop effect
dc.description.none.fl_txt_mv 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
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/160443
url http://sedici.unlp.edu.ar/handle/10915/160443
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0165-0270
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jneumeth.2022.109608
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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