Modeling temporal dynamics of face processing in youth and adults

Caitlin M. Hudac; Adam Naples; Trent D. DesChamps; Marika C. Coffman; Anna Kresse; Tracey Ward; Cora Mukerji; Benjamin Aaronson; Susan Faja; James C. McPartland; Raphael Bernier

doi:10.1080/17470919.2021.1920050

Modeling temporal dynamics of face processing in youth and adults

Caitlin M. Hudac^*, Adam Naples, Trent D. DesChamps, Marika C. Coffman, Anna Kresse, Tracey Ward, Cora Mukerji, Benjamin Aaronson, Susan Faja, James C. McPartland, Raphael Bernier

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

A hierarchical model of temporal dynamics was examined in adults (n = 34) and youth (n = 46) across the stages of face processing during the perception of static and dynamic faces. Three ERP components (P100, N170, N250) and spectral power in the mu range were extracted, corresponding to cognitive stages of face processing: low-level vision processing, structural encoding, higher-order processing, and action understanding. Youth and adults exhibited similar yet distinct patterns of hierarchical temporal dynamics such that earlier cognitive stages predicted later stages, directly and indirectly. However, latent factors indicated unique profiles related to behavioral performance for adults and youth and age as a continuous factor. The application of path analysis to electrophysiological data can yield novel insights into the cortical dynamics of social information processing.

Original language	English
Pages (from-to)	345-361
Number of pages	17
Journal	Social Neuroscience
Volume	16
Issue number	4
DOIs	https://doi.org/10.1080/17470919.2021.1920050
State	Published - 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

Temporal dynamics
electroencephalography (EEG)
event-related potentials (ERP)
face processing
path analysis

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title = "Modeling temporal dynamics of face processing in youth and adults",

abstract = "A hierarchical model of temporal dynamics was examined in adults (n = 34) and youth (n = 46) across the stages of face processing during the perception of static and dynamic faces. Three ERP components (P100, N170, N250) and spectral power in the mu range were extracted, corresponding to cognitive stages of face processing: low-level vision processing, structural encoding, higher-order processing, and action understanding. Youth and adults exhibited similar yet distinct patterns of hierarchical temporal dynamics such that earlier cognitive stages predicted later stages, directly and indirectly. However, latent factors indicated unique profiles related to behavioral performance for adults and youth and age as a continuous factor. The application of path analysis to electrophysiological data can yield novel insights into the cortical dynamics of social information processing.",

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doi = "10.1080/17470919.2021.1920050",

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AU - Naples, Adam

AU - DesChamps, Trent D.

AU - Coffman, Marika C.

AU - Kresse, Anna

AU - Ward, Tracey

AU - Mukerji, Cora

AU - Aaronson, Benjamin

AU - Faja, Susan

AU - McPartland, James C.

AU - Bernier, Raphael

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KW - event-related potentials (ERP)

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Modeling temporal dynamics of face processing in youth and adults

Abstract

Bibliographical note

Keywords

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