Cargando…

Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study

In recent years, many studies have focused on resting-state brain activity, and especially on functional connectivity (FC), an approach that typically describes the statistical interdependence of activity in distant brain regions through specific networks. Our aim was to study the neurophysiological...

Descripción completa

Detalles Bibliográficos
Autores principales: Fusina, Francesca, Marino, Marco, Spironelli, Chiara, Angrilli, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205637/
https://www.ncbi.nlm.nih.gov/pubmed/35721362
http://dx.doi.org/10.3389/fnhum.2022.895034
_version_ 1784729171180650496
author Fusina, Francesca
Marino, Marco
Spironelli, Chiara
Angrilli, Alessandro
author_facet Fusina, Francesca
Marino, Marco
Spironelli, Chiara
Angrilli, Alessandro
author_sort Fusina, Francesca
collection PubMed
description In recent years, many studies have focused on resting-state brain activity, and especially on functional connectivity (FC), an approach that typically describes the statistical interdependence of activity in distant brain regions through specific networks. Our aim was to study the neurophysiological correlates of emotion dysregulation. Therefore, we expected that both the Default Mode Network (DMN), and the Ventral Attention Network (VAN) would have been involved. Indeed, the latter plays a role in the automatic orienting of attention towards biologically salient stimuli and includes key regions for emotion control and modulation. Starting from a community sample of 422 female students, we selected 25 women with high traits of emotion dysregulation (HD group) and 25 with low traits (LD group). They underwent a 64-channel EEG recording during a five-minute resting state with eyes open. Seed-based FC was computed on the EEG Alpha band (8–13 Hz) as a control band, and on EEG Gamma power (30–50 Hz) as the relevant measure. The power within each network and inter-network connectivity (Inter-NC) was also calculated. Analysis of the EEG Gamma band revealed, in the HD group, higher levels of Inter-NC between the VAN and all other resting-state networks as compared with the LD group, while no differences emerged in the Alpha band. Concerning correlations, Alpha power in the VAN was negatively correlated in the HD group with affective lability (ALS-18 questionnaire), both for total score (ρ = –0.52, p(FDR) < 0.01) and the Depression/Elation subscale) ρ = −0.45, p(FDR) < 0.05). Consistent with this, in the Gamma band, a positive correlation was found between VAN spectral power and the Depression/Elation subscale of ALS-18, again in the HD group only (ρ = 0.47, p(FDR) < 0.05). In conclusion, both resting state FC and network power in the VAN were found to be related to high emotion dysregulation, even in our non-clinical sample with high traits. Emotion dysregulation was characterized, in the EEG gamma band, by a VAN strongly connected to all other networks, a result that points, in women prone to emotion dysregulation, to a strong automatic orienting of attention towards their internal state, bodily sensations, and emotionally intense related thoughts.
format Online
Article
Text
id pubmed-9205637
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92056372022-06-18 Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study Fusina, Francesca Marino, Marco Spironelli, Chiara Angrilli, Alessandro Front Hum Neurosci Human Neuroscience In recent years, many studies have focused on resting-state brain activity, and especially on functional connectivity (FC), an approach that typically describes the statistical interdependence of activity in distant brain regions through specific networks. Our aim was to study the neurophysiological correlates of emotion dysregulation. Therefore, we expected that both the Default Mode Network (DMN), and the Ventral Attention Network (VAN) would have been involved. Indeed, the latter plays a role in the automatic orienting of attention towards biologically salient stimuli and includes key regions for emotion control and modulation. Starting from a community sample of 422 female students, we selected 25 women with high traits of emotion dysregulation (HD group) and 25 with low traits (LD group). They underwent a 64-channel EEG recording during a five-minute resting state with eyes open. Seed-based FC was computed on the EEG Alpha band (8–13 Hz) as a control band, and on EEG Gamma power (30–50 Hz) as the relevant measure. The power within each network and inter-network connectivity (Inter-NC) was also calculated. Analysis of the EEG Gamma band revealed, in the HD group, higher levels of Inter-NC between the VAN and all other resting-state networks as compared with the LD group, while no differences emerged in the Alpha band. Concerning correlations, Alpha power in the VAN was negatively correlated in the HD group with affective lability (ALS-18 questionnaire), both for total score (ρ = –0.52, p(FDR) < 0.01) and the Depression/Elation subscale) ρ = −0.45, p(FDR) < 0.05). Consistent with this, in the Gamma band, a positive correlation was found between VAN spectral power and the Depression/Elation subscale of ALS-18, again in the HD group only (ρ = 0.47, p(FDR) < 0.05). In conclusion, both resting state FC and network power in the VAN were found to be related to high emotion dysregulation, even in our non-clinical sample with high traits. Emotion dysregulation was characterized, in the EEG gamma band, by a VAN strongly connected to all other networks, a result that points, in women prone to emotion dysregulation, to a strong automatic orienting of attention towards their internal state, bodily sensations, and emotionally intense related thoughts. Frontiers Media S.A. 2022-05-26 /pmc/articles/PMC9205637/ /pubmed/35721362 http://dx.doi.org/10.3389/fnhum.2022.895034 Text en Copyright © 2022 Fusina, Marino, Spironelli and Angrilli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Human Neuroscience
Fusina, Francesca
Marino, Marco
Spironelli, Chiara
Angrilli, Alessandro
Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title_full Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title_fullStr Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title_full_unstemmed Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title_short Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study
title_sort ventral attention network correlates with high traits of emotion dysregulation in community women — a resting-state eeg study
topic Human Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205637/
https://www.ncbi.nlm.nih.gov/pubmed/35721362
http://dx.doi.org/10.3389/fnhum.2022.895034
work_keys_str_mv AT fusinafrancesca ventralattentionnetworkcorrelateswithhightraitsofemotiondysregulationincommunitywomenarestingstateeegstudy
AT marinomarco ventralattentionnetworkcorrelateswithhightraitsofemotiondysregulationincommunitywomenarestingstateeegstudy
AT spironellichiara ventralattentionnetworkcorrelateswithhightraitsofemotiondysregulationincommunitywomenarestingstateeegstudy
AT angrillialessandro ventralattentionnetworkcorrelateswithhightraitsofemotiondysregulationincommunitywomenarestingstateeegstudy