Estimating time-varying RSA to examine psychophysiological linkage of marital dyads

One of the primary tenets of polyvagal theory dictates that parasympathetic influence on heart rate, often estimated by respiratory sinus arrhythmia (RSA), shifts rapidly in response to changing environmental demands. The current standard analytic approach of aggregating RSA estimates across time to...

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Bibliographic Details
Published inPsychophysiology Vol. 52; no. 8; pp. 1059 - 1065
Main Authors Gates, Kathleen M., Gatzke-Kopp, Lisa M., Sandsten, Maria, Blandon, Alysia Y.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.08.2015
Subjects
Adult
Electrocardiography
Female
Humans
Male
Marriage
Marriage - psychology
Matematik
Mathematics
Natural Sciences
Naturvetenskap
Parasympathetic Nervous System - physiology
Physiology
Probability Theory and Statistics
Psychology
Psychophysiological linkage
Respiratory sinus arrhythmia
Respiratory Sinus Arrhythmia - physiology
RSA linkage
Sannolikhetsteori och statistik
Time-varying RSA estimates
RSA linkage
Time-varying RSA estimates
Respiratory sinus arrhythmia
Psychophysiological linkage
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Summary:One of the primary tenets of polyvagal theory dictates that parasympathetic influence on heart rate, often estimated by respiratory sinus arrhythmia (RSA), shifts rapidly in response to changing environmental demands. The current standard analytic approach of aggregating RSA estimates across time to arrive at one value fails to capture this dynamic property within individuals. By utilizing recent methodological developments that enable precise RSA estimates at smaller time intervals, we demonstrate the utility of computing time‐varying RSA for assessing psychophysiological linkage (or synchrony) in husband‐wife dyads using time‐locked data collected in a naturalistic setting.
Bibliography:ark:/67375/WNG-QN03GMS9-Q
ArticleID:PSYP12428
istex:0140DF710533C81BA5009708EA308C399513ED33
The authors would like to thank the families who generously gave their time and effort to participate in this study. We are also grateful to Meghan Scrimgeour, Charlene Chester, Carmen Culotta, Michael DePaul, Jennifer Thaete, and numerous undergraduate research assistants in the Family and Child Development Lab for their contributions to recruitment, data collection, and cardiac data editing. This work was supported in part via a grant from the Children, Youth, and Families Consortium at The Pennsylvania State University awarded to AYB, KMG, and LG‐K and a grant from the Pennsylvania State Institute of Neuroscience awarded to LG‐K.
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ISSN:0048-5772
1469-8986
1540-5958
DOI:10.1111/psyp.12428