ArticleClinical EEG and neuroscience2026
Using EEG and Eye Tracking to Evaluate an Emotion Recognition iPad App for Autistic Children.
Article in Clinical EEG and neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Diagnostic Potential of Eye Tracking to Detect Autism Spectrum Disorder in Children: A Systematic Review.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Secondary Analysis of a Brief Parent-Implemented NDBI on Activity-Engaged Triadic Interactions Within Mother-Child Dyads.Behavioral sciences (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism is a neurodevelopmental condition that impacts individuals' communication and social interaction skills. Autistic children often have smaller N170 amplitudes in response to faces than neurotypical children. Autistic children also avoid the salient areas of the face. Technology-based interventions have been developed to teach autistic children how to recognise facial expressions, but the results have exhibited considerable variability across studies. The current study explored the effectiveness of an iPad app designed to support autistic children in recognising facial expressions by examining how participants process facial information through event-related potentials (ERP) and eye-tracking recordings. ERPs and eye tracking were recorded from 20 neurotypical and 15 autistic children aged between 6 and 12 years. The results replicated previous work, with the autistic group having smaller N170 and Vertex Positive Potential amplitudes and more scan time off the face when compared to non-autistic children. Following the intervention, some changes were observed in facial feature scanning among autistic participants, characterised by increased time spent on the face and decreased fixations. These findings add to the work, indicating that eye tracking may be a valuable biomarker for intervention outcomes in autism. Further research into N170 as a biomarker is needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.