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Effectiveness of a Short Computer-based Emotion Recognition Training in Different Patient Groups

2021年4月13日 更新者:Prof. Christina Stadler

Compared Effectiveness of a Short Computer-based Emotion Recognition Training in Conduct Disorder and Autistic Spectrum Disorder Patients

Emotion recognition and regulation are necessary skills for social interaction. Disrupted development of these processes severely interferes with socio-emotional development. These difficulties are commonly reported in patients with Autistic Spectrum Disorder (ASD) or Conduct Disorder (CD), with the subsequent social/interpersonal difficulties. The available evidence suggest that impaired emotion regulation processes might underlie the aggressive behaviours frequently observed in both disorders. However, no study has yet investigated the presence of disorder-specific characteristics on emotion processing between these two disorders. Different impaired emotion recognition difficulties may underlie the reported emotion dysregulation. A practical implication of this is that given that both disorders have shown difficulties during emotion recognition processes, a short, computer-based intervention to improve emotion recognition might benefit both cases, even though their aetiologies might differ.

研究概览

详细说明

For ASD patients, studies training facial emotion recognition have focused on increasing the active attention to the eye region, re-directing attention to facial features to facilitate facial emotion recognition. Evidence shows positive results using computer-based emotion recognition training programs with young children and adolescents with ASD. It has also been recently suggested that emotion recognition training may be a suitable intervention for patients with CD. This would be supported by some preliminary evidence in patients with severe behavioural problems, young offenders and patients with CD + CU Traits. The overall goal of this project is to investigate the compared impact of an emotion recognition training in patients with ASD or CD. This goal can be subdivided into three separate subgoals: a) identify whether the training program is effective; b) identify whether the training program has differentiated or comparable effects between both patients groups and c) investigate individual characteristics that may help identify those individuals who would benefit most from the intervention. This information is crucial to inform the design of more efficient treatments to differentially address the specific deficits associated to the disorders.

研究类型

介入性

注册 (预期的)

80

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

研究联系人备份

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

10年 至 18年 (孩子、成人)

接受健康志愿者

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Diagnosis: ASD or CD
  • German speaking
  • IQ > 70
  • Age: 10-18

Exclusion Criteria:

  • Comorbid Anxiety or Depressive disorder diagnosis
  • IQ < 70
  • Insufficient German language skills
  • Severe developmental disorders

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:治疗
  • 分配:不适用
  • 介入模型:单组作业
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
其他:Emotion recognition training
All participants have to complete the online emotion recognition training E.V.A. as well as the pre- and post training tasks: GERT and social decision making task.
The online training is focused on the strengthening of socioemotional competences and consists of different training tasks (up to 3 million) presented to the participant as mini games. These training tasks are specifically designed according to empirical findings to match the socio-emotional recognition needs of people with ASD. During these games, an adapted Elo-Algorithm allows to automatically evaluate the participants' performance and adapts the difficulty levels throughout the users' progress in the training.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Change in performance accuracy in Geneva Emotion Recognition Test (GERT)
大体时间:Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Percentage of accuracy to stimuli showing facial emotions
Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in performance response times in Geneva Emotion Recognition Test (GERT)
大体时间:Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Response times to stimuli showing facial emotions
Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in performance reaction times in Social decision-making task
大体时间:Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
Reaction times for each of the facial emotions shown
Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in choices in Social decision-making task
大体时间:Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)
The proportion of choices that maximise their self-gain for each of the facial emotions shown
Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (预期的)

2021年4月15日

初级完成 (预期的)

2021年11月30日

研究完成 (预期的)

2021年11月30日

研究注册日期

首次提交

2021年4月8日

首先提交符合 QC 标准的

2021年4月13日

首次发布 (实际的)

2021年4月14日

研究记录更新

最后更新发布 (实际的)

2021年4月14日

上次提交的符合 QC 标准的更新

2021年4月13日

最后验证

2021年4月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

药物和器械信息、研究文件

研究美国 FDA 监管的药品

研究美国 FDA 监管的设备产品

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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3
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