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临床试验/NCT03376373
NCT03376373已完成不适用

Neurotherapy to Promote Emotion Recognition in Autism

Virginia Polytechnic Institute and State University1 个研究点 分布在 1 个国家目标入组 28 人开始时间: 2016年9月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
28
试验地点
1
主要终点
facial emotion recognition (RMET)

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
Single (Outcomes Assessor)

盲法说明

independent evaluators are masked to condition assignment

入排标准

年龄范围
16 Years 至 29 Years(Child, Adult)
性别
Male
接受健康志愿者

入选标准

  • diagnosis of ASD

排除标准

  • No severe psychopathology which warrants other immediate treatment

结局指标

主要结局

facial emotion recognition (RMET)

时间窗: 5 weeks

Change in facial emotion recognition 5 weeks after baseline appointment

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

John Richey

Associate Professor

Virginia Polytechnic Institute and State University

研究点 (1)

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