ArticleFrontiers in neuroscience2018
A Feasibility Clinical Trial to Improve Social Attention in Autistic Spectrum Disorder (ASD) Using a Brain Computer Interface.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02445625 (An Interventional Study to Improve Social Attention in Autistic Spectrum Disorder), which is not on this map. Cited by 29 papers, 7 of them syntheses that pooled it.
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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.
An Interventional Study to Improve Social Attention in Autistic Spectrum Disorder (ASD): A Brain Computer Interface (BCI) Approach
Who cites it
29 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Examining Virtual Reality Interventions for Social Skills in Children with Autism Spectrum Disorder: A Systematic Review.Journal of autism and developmental disorders · 2026Pooled it
- Impact of extended reality interventions on core deficits and functional performance among individuals with autism spectrum disorder: A systematic review and meta-analysis.European child & adolescent psychiatry · 2026Pooled it
- Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis.Autism research : official journal of the International Society for Autism Research · 2025Pooled it
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Non-Invasive BCI-VR Applied Protocols as Intervention Paradigms on School-Aged Subjects with ASD: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- The use of virtual reality and augmented reality in psychosocial rehabilitation for adults with neurodevelopmental disorders: A systematic review.Frontiers in psychiatry · 2022Pooled it
- Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain-Computer Interfaces: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence.Behavior research methods · 2026Review
- A role for preparatory midfrontal theta in autism as revealed by a high executive load brain-computer interface reverse spelling task.Scientific reports · 2025Article
- Virtual/augmented reality for joint attention skills improvement in autism spectrum disorder: a systematic review.International journal of developmental disabilities · 2025Review
- Virtual Humans in Virtual Reality Mental Health Research: Systematic Review.JMIR XR and spatial computing · 2025Review
- EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network.Cognitive neurodynamics · 2024Article
- Article
- Investigating Sex-Based Neural Differences in Autism and Their Extended Reality Intervention Implications.Brain sciences · 2023Review
- Design and Implementation of a Collaborative Clinical Practice and Research Documentation System Using SNOMED-CT and HL7-CDA in the Context of a Pediatric Neurodevelopmental Unit.Healthcare (Basel, Switzerland) · 2023Article
- Machine Learning Enabled P300 Classifier for Autism Spectrum Disorder Using Adaptive Signal Decomposition.Brain sciences · 2023Article
- Functional Two-Dimensional Materials for Bioelectronic Neural Interfacing.Journal of functional biomaterials · 2023Review
- Current development of biosensing technologies towards diagnosis of mental diseases.Frontiers in bioengineering and biotechnology · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deficits in the interpretation of others' intentions from gaze-direction or other social attention cues are well-recognized in ASD. Here we investigated whether an EEG brain computer interface (BCI) can be used to train social cognition skills in ASD patients. We performed a single-arm feasibility clinical trial and enrolled 15 participants (mean age 22y 2m) with high-functioning ASD (mean full-scale IQ 103). Participants were submitted to a BCI training paradigm using a virtual reality interface over seven sessions spread over 4 months. The first four sessions occurred weekly, and the remainder monthly. In each session, the subject was asked to identify objects of interest based on the gaze direction of an avatar. Attentional responses were extracted from the EEG P300 component. A final follow-up assessment was performed 6-months after the last session. To analyze responses to joint attention cues participants were assessed pre and post intervention and in the follow-up, using an ecologic "Joint-attention task." We used eye-tracking to identify the number of social attention items that a patient could accurately identify from an avatar's action cues (e.g., looking, pointing at). As secondary outcome measures we used the Autism Treatment Evaluation Checklist (ATEC) and the Vineland Adaptive Behavior Scale (VABS). Neuropsychological measures related to mood and depression were also assessed. In sum, we observed a decrease in total ATEC and rated autism symptoms (Sociability; Sensory/Cognitive Awareness; Health/Physical/Behavior); an evident improvement in Adapted Behavior Composite and in the DLS subarea from VABS; a decrease in Depression (from POMS) and in mood disturbance/depression (BDI). BCI online performance and tolerance were stable along the intervention. Average P300 amplitude and alpha power were also preserved across sessions. We have demonstrated the feasibility of BCI in this kind of intervention in ASD. Participants engage successfully and consistently in the task. Although the primary outcome (rate of automatic responses to joint attention cues) did not show changes, most secondary neuropsychological outcome measures showed improvement, yielding promise for a future efficacy trial. (clinical-trial ID: NCT02445625-clinicaltrials.gov).
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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.