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Neural Mechanisms of Facial Emotion Recognition in Autism: Distinct Roles for Anterior Cingulate and dlPFC.
Richey, John A; Gracanin, Denis; LaConte, Stephen; Lisinski, Jonathan; Kim, Inyoung; Coffman, Marika; Antezana, Ligia; Carlton, Corinne N; Garcia, Katelyn M; White, Susan W.
Afiliação
  • Richey JA; Department of Psychology, Virginia Tech.
  • Gracanin D; Department of Computer Science, Virginia Tech.
  • LaConte S; Fralin Biomedical Research Institute at Virginia Tech Carilion.
  • Lisinski J; Department of Biomedical Engineering and Mechanics, Virginia Tech.
  • Kim I; Fralin Biomedical Research Institute at Virginia Tech Carilion.
  • Coffman M; Fralin Biomedical Research Institute at Virginia Tech Carilion.
  • Antezana L; Department of Statistics, Virginia Tech.
  • Carlton CN; Department of Psychology, Virginia Tech.
  • Garcia KM; Center for Autism and Brain Development, Duke University.
  • White SW; Department of Psychiatry and Behavioral Sciences, Duke University.
J Clin Child Adolesc Psychol ; 51(3): 323-343, 2022.
Article em En | MEDLINE | ID: mdl-35476602
ABSTRACT

OBJECTIVE:

The present study sought to measure and internally validate neural markers of facial emotion recognition (FER) in adolescents and young adults with ASD to inform targeted intervention.

METHOD:

We utilized fMRI to measure patterns of brain activity among individuals with ASD (N = 21) and matched controls (CON; N = 20) 2 s prior to judgments about the identity of six distinct facial emotions (happy, sad, angry, surprised, fearful, disgust).

RESULTS:

Predictive modeling of fMRI data (support vector classification; SVC) identified mechanistic roles for brain regions that forecasted correct and incorrect identification of facial emotion as well as sources of errors over these decisions. BOLD signal activation in bilateral insula, anterior cingulate (ACC) and right dorsolateral prefrontal cortex (dlPFC) preceded accurate FER in both controls and ASD. Predictive modeling utilizing SVC confirmed the utility of ACC in forecasting correct decisions in controls but not ASD, and further indicated that a region within the right dlPFC was the source of a type 1 error signal in ASD (i.e. neural marker reflecting an impending correct judgment followed by an incorrect behavioral response) approximately two seconds prior to emotion judgments during fMRI.

CONCLUSIONS:

ACC forecasted correct decisions only among control participants. Right dlPFC was the source of a false-positive signal immediately prior to an error about the nature of a facial emotion in adolescents and young adults with ASD, potentially consistent with prior work indicating that dlPFC may play a role in attention to and regulation of emotional experience.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Reconhecimento Facial Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: J Clin Child Adolesc Psychol Assunto da revista: PEDIATRIA / PSICOLOGIA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Reconhecimento Facial Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: J Clin Child Adolesc Psychol Assunto da revista: PEDIATRIA / PSICOLOGIA Ano de publicação: 2022 Tipo de documento: Article