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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03376373
Other study ID # MH100268
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date September 1, 2016
Est. completion date December 31, 2019

Study information

Verified date September 2020
Source Virginia Polytechnic Institute and State University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder, more prevalent than previously thought and heterogeneous in expression, though uniformly characterized by severe social disability. The social disability that defines ASD pervades other areas of adaptive behavior, is predictive of secondary mental health problems, and adversely affects long-term outcome. Although ASD is a chronic condition, there has been little research on interventions for adults with ASD. This study proposes to first establish the neural plasticity of specific brain mechanisms underlying difficulties with facial emotion recognition, a core deficit believed to be pivotal in the behavioral expression of ASD-social disability. The investigators will then develop a novel, computer-based intervention using real-time feedback, to the user, to ameliorate emotion recognition deficits.


Description:

Individuals with autism spectrum disorder (ASD) are known to have difficulty in the recognition of facial emotion. Such deficits in facial emotion recognition (FER) are thought to cause or exacerbate social disability in ASD by preventing 1) accurate detection of social/emotional information conveyed through the face and, subsequently 2) the deployment of emotionally appropriate responses. Consistent with this model, FER deficits are correlated with social disability in ASD and confer morbidity above and beyond core symptoms.

The long-term goal is to understand how FER networks can be manipulated for therapeutic and preventative purposes. In this trial, investigators are testing the feasibility of an intervention that capitalizes on our previously developed brain-computer interface (BCI) to promote FER in a mixed virtual reality world. The new "FER Assistant" tool (deployed on a tablet - iPad) is intended to aid users in detecting emotions and intents of 'avatars' inhabiting a virtual world, and will provide users with a highly realistic testbed for practicing FER skills in concert with BCI.


Recruitment information / eligibility

Status Completed
Enrollment 28
Est. completion date December 31, 2019
Est. primary completion date December 31, 2019
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Male
Age group 16 Years to 29 Years
Eligibility Inclusion Criteria:

- diagnosis of ASD

Exclusion Criteria:

- No severe psychopathology which warrants other immediate treatment

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
neurofeedback
real-time feedback on accuracy of emotion recognition

Locations

Country Name City State
United States Child Study Center Blacksburg Virginia

Sponsors (1)

Lead Sponsor Collaborator
Virginia Polytechnic Institute and State University

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary facial emotion recognition (RMET) Change in facial emotion recognition 5 weeks after baseline appointment 5 weeks
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