CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 15 enrolled
Drug / intervention
BCI to train joint attention in ASDdevice
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT02445625
NCT02445625N/ACompleted

An Interventional Study to Improve Social Attention in Autistic Spectrum Disorder (ASD): A Brain Computer Interface (BCI) Approach

University of Coimbra·interventional·Posted May 15, 2015·Updated Feb 18, 2019

In Brief

A clinical study evaluating BCI to train joint attention in ASD for Autism Spectrum Disorder. Completed, enrolled 15 participants.

Detailed Summary

This study aims to demonstrate that improvements in identification of social clues (and improvement of overall social behaviour) in subjects with ASD can be achieved using social games together with a BCI setup. The primary goal is to ensure increased rate of responses to joint attention cues. Intervention Type is a Device (brain computer interface using EEG). Structure: (1) initial eligibility screening (within 1 week after admission), (2) pre-intervention (first week of study, baseline outcome measures and additional evaluations), (3) intervention process (16 weeks), (4) post-intervention (outcome measures and additional evaluations), and (5) follow-up (outcome measures at 6 months).

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
Countries--
Collaborators--

Timeline

N/ACompletedFinished
20162017201820192020202120222023202420252026
First PostedMay 15, 2015
Enrollment StartFeb 1, 2016
Primary CompletionNov 1, 2017
Study CompletionSep 1, 2018
TodayJul 2, 2026
Enrollment to primary: 1.8 yearsPosted 11.1 years ago

Interventions

BCI to train joint attention in ASDdevice

The intervention comprehends seven BCI sessions spread over four months. The first four sessions are planned to occur weekly, and the rest monthly. In each session, the subject is asked to identify objects of interest based on the gaze direction of an avatar. The subject response is interpreted from the EEG signal (using the P300 component, as established in our previous work).