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Dynamic causal modeling of spontaneous fluctuations in skin conductance

Spontaneous fluctuations (SF) in skin conductance are often used to index sympathetic arousal and emotional states. SF are caused by sudomotor nerve activity (SNA), which is a direct indicator of sympathetic arousal. Here, we describe a dynamic causal model (DCM) of how SNA causes SF, and apply vari...

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Detalles Bibliográficos
Autores principales: Bach, Dominik R, Daunizeau, Jean, Kuelzow, Nadine, Friston, Karl J, Dolan, Raymond J
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Inc 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039749/
https://www.ncbi.nlm.nih.gov/pubmed/20557485
http://dx.doi.org/10.1111/j.1469-8986.2010.01052.x
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author Bach, Dominik R
Daunizeau, Jean
Kuelzow, Nadine
Friston, Karl J
Dolan, Raymond J
author_facet Bach, Dominik R
Daunizeau, Jean
Kuelzow, Nadine
Friston, Karl J
Dolan, Raymond J
author_sort Bach, Dominik R
collection PubMed
description Spontaneous fluctuations (SF) in skin conductance are often used to index sympathetic arousal and emotional states. SF are caused by sudomotor nerve activity (SNA), which is a direct indicator of sympathetic arousal. Here, we describe a dynamic causal model (DCM) of how SNA causes SF, and apply variational Bayesian model inversion to infer SNA, given empirically observed SF. The estimated SNA bears a relationship to the number of SF as derived from conventional (semi-visual) analysis. Crucially, we show that, during public speaking induced anxiety, the estimated number of SNA bursts is a better predictor of the (known) psychological state than the number of SF. We suggest dynamic causal modeling of SF potentially allows a more precise and informed inference about arousal than purely descriptive methods.
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spelling pubmed-30397492011-02-19 Dynamic causal modeling of spontaneous fluctuations in skin conductance Bach, Dominik R Daunizeau, Jean Kuelzow, Nadine Friston, Karl J Dolan, Raymond J Psychophysiology Original Articles Spontaneous fluctuations (SF) in skin conductance are often used to index sympathetic arousal and emotional states. SF are caused by sudomotor nerve activity (SNA), which is a direct indicator of sympathetic arousal. Here, we describe a dynamic causal model (DCM) of how SNA causes SF, and apply variational Bayesian model inversion to infer SNA, given empirically observed SF. The estimated SNA bears a relationship to the number of SF as derived from conventional (semi-visual) analysis. Crucially, we show that, during public speaking induced anxiety, the estimated number of SNA bursts is a better predictor of the (known) psychological state than the number of SF. We suggest dynamic causal modeling of SF potentially allows a more precise and informed inference about arousal than purely descriptive methods. Blackwell Publishing Inc 2011-02 /pmc/articles/PMC3039749/ /pubmed/20557485 http://dx.doi.org/10.1111/j.1469-8986.2010.01052.x Text en Copyright © 2011 by the Society for Psychophysiological Research http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Articles
Bach, Dominik R
Daunizeau, Jean
Kuelzow, Nadine
Friston, Karl J
Dolan, Raymond J
Dynamic causal modeling of spontaneous fluctuations in skin conductance
title Dynamic causal modeling of spontaneous fluctuations in skin conductance
title_full Dynamic causal modeling of spontaneous fluctuations in skin conductance
title_fullStr Dynamic causal modeling of spontaneous fluctuations in skin conductance
title_full_unstemmed Dynamic causal modeling of spontaneous fluctuations in skin conductance
title_short Dynamic causal modeling of spontaneous fluctuations in skin conductance
title_sort dynamic causal modeling of spontaneous fluctuations in skin conductance
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039749/
https://www.ncbi.nlm.nih.gov/pubmed/20557485
http://dx.doi.org/10.1111/j.1469-8986.2010.01052.x
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