Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia
Abstract Spectral power density (SPD) indexed by electroencephalogram (EEG) recordings has recently gained attention in elucidating neural mechanisms of chronic pain syndromes and medication use. We compared SPD variations between 15 fibromyalgia (FM) women in use of opioid in the last three months...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4816d7a6755e46afb94c349f0e7ebfff |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:4816d7a6755e46afb94c349f0e7ebfff |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:4816d7a6755e46afb94c349f0e7ebfff2021-11-28T12:17:53ZSpectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia10.1038/s41598-021-01982-02045-2322https://doaj.org/article/4816d7a6755e46afb94c349f0e7ebfff2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01982-0https://doaj.org/toc/2045-2322Abstract Spectral power density (SPD) indexed by electroencephalogram (EEG) recordings has recently gained attention in elucidating neural mechanisms of chronic pain syndromes and medication use. We compared SPD variations between 15 fibromyalgia (FM) women in use of opioid in the last three months (73.33% used tramadol) with 32 non-users. EEG data were obtained with Eyes Open (EO) and Eyes Closed (EC) resting state. SPD peak amplitudes between EO-EC were smaller in opioid users in central theta, central beta, and parietal beta, and at parietal delta. However, these variations were positive for opioid users. Multivariate analyses of variance (ANOVAs) revealed that EO-EC variations in parietal delta were negatively correlated with the disability due to pain, and central and parietal beta activity variations were positively correlated with worse sleep quality. These clinical variables explained from 12.5 to 17.2% of SPD variance. In addition, central beta showed 67% sensitivity / 72% specificity and parietal beta showed 73% sensitivity/62% specificity in discriminating opioid users from non-users. These findings suggest oscillations in EEG might be a sensitive surrogate marker to screen FM opioid users and a promising tool to understand the effects of opioid use and how these effects relate to functional and sleep-related symptoms.Maxciel ZorteaGerardo BeltranRael Lopes AlvesPaul VicuñaIraci L. S. TorresFelipe FregniWolnei CaumoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Maxciel Zortea Gerardo Beltran Rael Lopes Alves Paul Vicuña Iraci L. S. Torres Felipe Fregni Wolnei Caumo Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
description |
Abstract Spectral power density (SPD) indexed by electroencephalogram (EEG) recordings has recently gained attention in elucidating neural mechanisms of chronic pain syndromes and medication use. We compared SPD variations between 15 fibromyalgia (FM) women in use of opioid in the last three months (73.33% used tramadol) with 32 non-users. EEG data were obtained with Eyes Open (EO) and Eyes Closed (EC) resting state. SPD peak amplitudes between EO-EC were smaller in opioid users in central theta, central beta, and parietal beta, and at parietal delta. However, these variations were positive for opioid users. Multivariate analyses of variance (ANOVAs) revealed that EO-EC variations in parietal delta were negatively correlated with the disability due to pain, and central and parietal beta activity variations were positively correlated with worse sleep quality. These clinical variables explained from 12.5 to 17.2% of SPD variance. In addition, central beta showed 67% sensitivity / 72% specificity and parietal beta showed 73% sensitivity/62% specificity in discriminating opioid users from non-users. These findings suggest oscillations in EEG might be a sensitive surrogate marker to screen FM opioid users and a promising tool to understand the effects of opioid use and how these effects relate to functional and sleep-related symptoms. |
format |
article |
author |
Maxciel Zortea Gerardo Beltran Rael Lopes Alves Paul Vicuña Iraci L. S. Torres Felipe Fregni Wolnei Caumo |
author_facet |
Maxciel Zortea Gerardo Beltran Rael Lopes Alves Paul Vicuña Iraci L. S. Torres Felipe Fregni Wolnei Caumo |
author_sort |
Maxciel Zortea |
title |
Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
title_short |
Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
title_full |
Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
title_fullStr |
Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
title_full_unstemmed |
Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
title_sort |
spectral power density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/4816d7a6755e46afb94c349f0e7ebfff |
work_keys_str_mv |
AT maxcielzortea spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT gerardobeltran spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT raellopesalves spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT paulvicuna spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT iracilstorres spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT felipefregni spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia AT wolneicaumo spectralpowerdensityanalysisoftherestingstateasamarkerofthecentraleffectsofopioiduseinfibromyalgia |
_version_ |
1718408073505144832 |