@article{1cdc605b79be4bdb8ac4fa3bc394db41,
title = "Using facial muscular movements to understand young children's emotion regulation and concurrent neural activation",
abstract = "Individual differences in young children's frustration responses set the stage for myriad developmental outcomes and represent an area of intense empirical interest. Emotion regulation is hypothesized to comprise the interplay of complex behaviors, such as facial expressions, and activation of concurrent underlying neural systems. At present, however, the literature has mostly examined children's observed emotion regulation behaviors and assumed underlying brain activation through separate investigations, resulting in theoretical gaps in our understanding of how children regulate emotion in vivo. Our goal was to elucidate links between young children's emotion regulation-related neural activation, facial muscular movements, and parent-rated temperamental emotion regulation. Sixty-five children (age 3–7) completed a frustration-inducing computer task while lateral prefrontal cortex (LPFC) activation and concurrent facial expressions were recorded. Negative facial expressions with eye constriction were inversely associated with both parent-rated temperamental emotion regulation and concurrent LPFC activation. Moreover, we found evidence that positive expressions with eye constriction during frustration may be associated with stronger LPFC activation. Results suggest a correspondence between facial expressions and LPFC activation that may explicate how children regulate emotion in real time.",
author = "Grabell, {Adam S.} and Huppert, {Theodore J.} and Fishburn, {Frank A.} and Yanwei Li and Jones, {Hannah M.} and Wilett, {Aimee E.} and Bemis, {Lisa M.} and Perlman, {Susan B.}",
note = "Funding Information: This work was supported by National Institutes of Health (K01 MH094467 PI: Susan Perlman, R21 MH100189 PI: Susan Perlman, and R01 MH107540 PI: Susan Perlman). Adam S. Grabell received support from the National Institutes of Health (T32MH018951; PI: David Brent). We thank Caroline MacGillivray, Meghan Murphy, Brianna Jones, Min Sun, Stephanie Buerk, and Chiamaka Ukoha for their help in subject recruitment and data collection. fNIRS analytical methodology included in this manuscript is developed by Theodore Huppert and Jeffrey Barker and is made publicly available through the following link: https://bitbucket.org/huppertt/nirs-toolbox/wiki/Home. Funding Information: This work was supported by National Institutes of Health (K01 MH094467 PI: Susan Perlman, R21 MH100189 PI: Susan Perlman, and R01 MH107540 PI: Susan Perlman). Adam S. Grabell received support from the National Institutes of Health (T32MH018951; PI: David Brent). We thank Caroline MacGillivray, Meghan Murphy, Brianna Jones, Min Sun, Stephanie Buerk, and Chiamaka Ukoha for their help in subject recruitment and data collection. fNIRS analytical methodology included in this manuscript is developed by Theodore Huppert and Jeffrey Barker and is made publicly available through the following link: https://bitbucket.org/huppertt/nirs-toolbox/wiki/Home. Publisher Copyright: {\textcopyright} 2017 John Wiley & Sons Ltd",
year = "2018",
month = sep,
doi = "10.1111/desc.12628",
language = "English",
volume = "21",
journal = "Developmental Science",
issn = "1363-755X",
number = "5",
}