BCI Training for Social Cognition and Error Monitoring in ASD

Recruiting now · Not applicable

Conditions studied: Autism Spectrum Disorder (ASD)

In brief

Social cognition seems to develop atypically in autism, particularly in processes such as faces perception, joint attention and social information processing. In this sense, and using an Emotional Paradigm of Facial Expressions (EFP) with a Brain-Computer Interface (BCI) based on Electroencephalography (EEG), the investigators intend to evaluate its effectiveness as a medical device in Autism Spectrum Disorder (ASD), namely: improving 1) social skills and 2) reducing generalized anxiety, 3) improve error monitoring, and consequently verify 4) an increase in motivation. To this end, the investigators will test a gamified intervention (EFP), using personalized feedback in real time. In this gamified interface, there is an artificial agent that learns rules through Reinforcement Learning using the evoked potentials from the participant as they observe the agent's right or wrong actions. The hypothesis is that this approach allows, during the gamified task (EFP), not only the agent/interface to learn, but also the participant through operant conditioning and implicit scrutiny of errors, which makes it particularly interesting for disorders in which error monitoring processes are compromised, as in ASD.

Key facts

Study ID
NCT06829303
Run by
University of Coimbra
People needed
28
Starts
2025-03-01
Expected to finish
2026-12-01
Last updated by the study team
2025-08-01

Who can join

Age: 16 and older, up to 55. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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