期刊
DEVELOPMENT AND PSYCHOPATHOLOGY
卷 31, 期 3, 页码 1173-1190出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0954579419000683
关键词
autonomic nervous system; dynamical systems; emotion regulation; entropy; fractal; respiratory sinus arrhythmia
资金
- National Institute of Health [T32 MH015755]
- University of Minnesota Interdisciplinary Fellowship
- Irving B. Harris Professorship
- Institute of Child Development Graduate Student Small Grants Program
Developing the ability to regulate one's emotions in accordance with contextual demands (i.e., emotion regulation) is a central developmental task of early childhood. These processes are supported by the engagement of the autonomic nervous system (ANS), a physiological hub of a vast network tasked with dynamically integrating real-time experiential inputs with internal motivational and goal states. To date, much of what is known about the ANS and emotion regulation has been based on measures of respiratory sinus arrhythmia, a cardiac indicator of parasympathetic activity. In the present study, we draw from dynamical systems models to introduce two nonlinear indices of cardiac complexity (fractality and sample entropy) as potential indicators of these broader ANS dynamics. Using data from a stratified sample of preschoolers living in high- (i.e., emergency homeless shelter) and low-risk contexts (N = 115), we show that, in conjunction with respiratory sinus arrhythmia, these nonlinear indices may help to clarify important differences in the behavioral manifestations of emotion regulation. In particular, our results suggest that cardiac complexity may be especially useful for discerning active, effortful emotion regulation from less effortful regulation and dysregulation.
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