Literature DB >> 33882266

Modeling temporal dynamics of face processing in youth and adults.

Caitlin M Hudac1, Adam Naples2, Trent D DesChamps3, Marika C Coffman4, Anna Kresse3, Tracey Ward3,5, Cora Mukerji6, Benjamin Aaronson7, Susan Faja5, James C McPartland2, Raphael Bernier3.   

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.

Entities:  

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

Mesh:

Year:  2021        PMID: 33882266      PMCID: PMC8324546          DOI: 10.1080/17470919.2021.1920050

Source DB:  PubMed          Journal:  Soc Neurosci        ISSN: 1747-0919            Impact factor:   2.381


  102 in total

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Authors:  Michelle de Haan; Jay Belsky; Vincent Reid; Agnes Volein; Mark H Johnson
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7.  The role of spatial attention in the processing of facial expression: an ERP study of rapid brain responses to six basic emotions.

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Journal:  Adv Exp Med Biol       Date:  2014       Impact factor: 2.622

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Journal:  Cereb Cortex       Date:  1994 Sep-Oct       Impact factor: 5.357

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