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Neurotherapy to Promote Emotion Recognition in Autism

Virginia Polytechnic Institute and State University logo

Virginia Polytechnic Institute and State University

Status

Completed

Conditions

Autism Spectrum Disorder

Treatments

Behavioral: neurofeedback

Study type

Interventional

Funder types

Other

Identifiers

NCT03376373
MH100268

Details and patient eligibility

About

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.

Full 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.

Enrollment

28 patients

Sex

Male

Ages

16 to 29 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • diagnosis of ASD

Exclusion criteria

  • No severe psychopathology which warrants other immediate treatment

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

28 participants in 2 patient groups

active
Experimental group
Description:
Neurofeedback for FER
Treatment:
Behavioral: neurofeedback
control
No Intervention group
Description:
waiting list

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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