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Modeling temporal dynamics of face processing in youth and adults.
Hudac, Caitlin M; Naples, Adam; DesChamps, Trent D; Coffman, Marika C; Kresse, Anna; Ward, Tracey; Mukerji, Cora; Aaronson, Benjamin; Faja, Susan; McPartland, James C; Bernier, Raphael.
Afiliação
  • Hudac CM; Center for Youth Development and Intervention and Department of Psychology, University of Alabama, Tuscaloosa, AL, USA.
  • Naples A; Yale Child Study Center, Yale University, New Haven, CT, USA.
  • DesChamps TD; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
  • Coffman MC; Center for Autism and Brain Development and Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Kresse A; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
  • Ward T; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
  • Mukerji C; The Seattle Clinic, Seattle, WA, USA.
  • Aaronson B; Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Faja S; Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • McPartland JC; The Seattle Clinic, Seattle, WA, USA.
  • Bernier R; Yale Child Study Center, Yale University, New Haven, CT, USA.
Soc Neurosci ; 16(4): 345-361, 2021 08.
Article em En | MEDLINE | ID: mdl-33882266
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Facial Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: Soc Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Facial Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: Soc Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos