2022
DOI: 10.1111/psyp.14018
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Tonic pain reduces autonomic responses and EEG functional connectivity elicited by affective stimuli

Abstract: Most pain studies have focused on only two aspects of pain: the influence of pain on attentional processing and the modulation of pain perception by affective stimuli. However, the influence of tonic pain on the attentional processing of affective stimuli has not been studied. In this study, we investigated the effects of tonic pain on the attentional processing of affective stimuli, focusing on autonomic responses and their relationship with both EEG power and functional connectivity. Forty participants (20 m… Show more

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Cited by 3 publications
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“…FC can be studied at various spatial and temporal scales, using brain signals such as functional magnetic resonance imaging (fMRI), electro/magneto‐encephalogram (EEG/MEG) or neuronal firing activity, and is quantified using a variety of techniques such as coherence (Srinivasan et al, 2007), imaginary part of coherence (Nolte et al, 2004), phase locking value (PLV; [Lachaux et al, 2000]), pairwise phase consistency (PPC; [Vinck et al, 2010]) and so on. Many studies have reported changes in FC in different frequency bands with cognitive tasks such as working memory visual discrimination (Lachaux et al, 1998), emotional face processing (Li et al, 2015), fixation tasks (Murty et al, 2018), pain perception tasks (Alba et al, 2022), motor learning tasks (Heitger et al, 2012), ageing and with brain disorders (Ishii et al, 2017). For example, reduction in alpha (8–12 Hz) FC was reported with healthy ageing in resting state EEG (Moezzi et al, 2019), whereas gamma (30–55 Hz) FC reduction was reported in autism (Safar et al, 2020) and in Alzheimer's disease (AD) and schizophrenia (Uhlhaas & Singer, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…FC can be studied at various spatial and temporal scales, using brain signals such as functional magnetic resonance imaging (fMRI), electro/magneto‐encephalogram (EEG/MEG) or neuronal firing activity, and is quantified using a variety of techniques such as coherence (Srinivasan et al, 2007), imaginary part of coherence (Nolte et al, 2004), phase locking value (PLV; [Lachaux et al, 2000]), pairwise phase consistency (PPC; [Vinck et al, 2010]) and so on. Many studies have reported changes in FC in different frequency bands with cognitive tasks such as working memory visual discrimination (Lachaux et al, 1998), emotional face processing (Li et al, 2015), fixation tasks (Murty et al, 2018), pain perception tasks (Alba et al, 2022), motor learning tasks (Heitger et al, 2012), ageing and with brain disorders (Ishii et al, 2017). For example, reduction in alpha (8–12 Hz) FC was reported with healthy ageing in resting state EEG (Moezzi et al, 2019), whereas gamma (30–55 Hz) FC reduction was reported in autism (Safar et al, 2020) and in Alzheimer's disease (AD) and schizophrenia (Uhlhaas & Singer, 2006).…”
Section: Introductionmentioning
confidence: 99%