A Randomized Trial Utilizing EEG Brain Computer Interface to Improve Facial Emotion Recognition in Autistic Adults.

Purpose: Many individuals with autism spectrum disorder (ASD) experience challenges with facial emotion recognition (FER), which may exacerbate social difficulties in ASD. Few studies have examined whether FER can be experimentally manipulated and improved for autistic people. This study utilized a...

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Publicado en:Journal of Autism & Developmental Disorders Vol. 55; no. 9; pp. 3217 - 3231
Autores principales: Brewe, Alexis M., Antezana, Ligia, Carlton, Corinne N., Gracanin, Denis, Richey, John A., Kim, Inyoung, White, Susan W.
Formato: pictorial research tables/charts randomized controlled trial Journal Article
Publicado: Springer Nature Sep2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2025
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      pub: Springer Nature
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          Brewe, Alexis M.
          Antezana, Ligia
          Carlton, Corinne N.
          Gracanin, Denis
          Richey, John A.
          Kim, Inyoung
          White, Susan W.
        affil: https://ror.org/03xrrjk67 Center for Youth Development and Intervention, University of Alabama, 101 McMillan Building, 200 Hackberry Lane, 35487, Tuscaloosa, AL, USA
      sug:
        subj:
          Patient Satisfaction Evaluation
          Augmented Reality
          Virtual Reality
          Biofeedback
          Electroencephalography
          Face Perception
          User-Computer Interface
          Autism Spectrum Disorder Therapy
          Patient Compliance Evaluation
          Human
          Randomized Controlled Trials
          Adolescence
          Adult
          Male
          Random Assignment
          Funding Source
          Mixed Reality
          Adolescent: 13-18 years
          Adult: 19-44 years
          Male
      ab: Purpose: Many individuals with autism spectrum disorder (ASD) experience challenges with facial emotion recognition (FER), which may exacerbate social difficulties in ASD. Few studies have examined whether FER can be experimentally manipulated and improved for autistic people. This study utilized a randomized controlled trial design to examine acceptability and preliminary clinical impact of a novel mixed reality-based neurofeedback program, FER Assistant, using EEG brain computer interface (BCI)-assisted technology to improve FER for autistic adolescents and adults. Methods: Twenty-seven autistic male participants (M age: 21.12 years; M IQ: 105.78; 85% white) were randomized to the active condition to receive FER Assistant (n = 17) or waitlist control (n = 10). FER Assistant participants received ten sessions utilizing BCI-assisted neurofeedback training in FER. All participants, regardless of randomization, completed a computerized FER task at baseline and endpoint. Results: Results partially indicated that FER Assistant was acceptable to participants. Regression analyses demonstrated that participation in FER Assistant led to group differences in FER at endpoint, compared to a waitlist control. However, analyses examining reliable change in FER indicated no reliable improvement or decline for FER Assistant participants, whereas two waitlist participants demonstrated reliable decline. Conclusion: Given the preliminary nature of this work, results collectively suggest that FER Assistant may be an acceptable intervention. Results also suggest that FER may be a potential mechanism that is amenable to intervention for autistic individuals, although additional trials using larger sample sizes are warranted.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        randomized controlled trial
        Journal Article
      ougenre: Article
    language: English
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