Evidence map›Paper›PMID 38941048›Full record

Trial reportJournal of autism and developmental disorders2025

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

Alexis M Brewe, Ligia Antezana, Corinne N Carlton, Denis Gracanin, John A Richey, Inyoung Kim, Susan W White

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alexis M BreweCenter for Youth Development and Intervention, University of Alabama, 101 McMillan Building, 200 Hackberry Lane, Tuscaloosa, AL, 35487, USA. abrewe@crimson.ua.edu.ORCID http://orcid.org/0000-0002-3631-9545
Ligia AntezanaDepartment of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Corinne N CarltonDepartment of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Denis GracaninDepartment of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
John A RicheyDepartment of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Inyoung KimDepartment of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Susan W WhiteCenter for Youth Development and Intervention, University of Alabama, 101 McMillan Building, 200 Hackberry Lane, Tuscaloosa, AL, 35487, USA.

Funding

Development of a novel neurotechnology to promote emotion recognition in autismR33MH100268 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI RICHEY, JOHN ANTHONY · 2016 to 2018
$843k
NIMH NIH HHS R33MH100268-03
6 · The paper itself

Abstract

purposeMany 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.

methodsTwenty-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.

resultsResults 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.

conclusionGiven 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.

Indexed as

Autism Spectrum DisorderBrain-Computer InterfacesElectroencephalographyFacial RecognitionNeurofeedbackAdolescentAdultEmotionsFacial ExpressionHumansMaleYoung AdultAutismBrain Computer InterfaceEEGFacial Emotion RecognitionIntervention

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.