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相关概念视频

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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相关实验视频

Updated: Jun 25, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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通过开发一个协作数据平台来加强多站点自闭症研究.

Jeffrey T Anderson1, Jeffrey D Roth1, Kashia A Rosenau1

  • 1Department of Medicine, University of California, Los Angeles, California, USA.

Autism research : official journal of the International Society for Autism Research
|May 25, 2024
PubMed
概括

关于身体健康的自闭症干预研究网络 (AIR-P) 开发了协作研究基础设施 (ICR),以标准化自闭症数据收集. 这一框架促进了公平的研究,增强了数据共享,并集中了自闭症声音,以获得更好的结果.

关键词:
在ICR中,ICR是ICR.自闭症自闭症是什么合作 合作 合作 合作数据数据的数据数据的数据.公共卫生公共卫生.这是一个存储库存储库.

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
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科学领域:

  • 神经科学是一个神经科学.
  • 公共卫生 公共卫生
  • 数据科学数据科学数据科学

背景情况:

  • 数据库需要强有力的标准来收集和使用数据,特别是来自弱势群体的数据.
  • 关于身体健康的自闭症干预研究网络 (AIR-P) 确定在自闭症研究数据管理中需要标准化实践.
  • 现有的自闭症研究数据实践缺乏足够的标准化,网站间的协作和参与者的参与.

研究的目的:

  • 为自闭症研究库建立标准化数据收集实践.
  • 促进跨站点的合作,并在研究中放大自闭症声音.
  • 提高自闭症研究数据的可访问性和透明度.

主要方法:

  • 合作研究基础设施 (ICR) 作为一个三层框架的发展.
  • 实施申请系统,基于REDCap的数据库和公共数据仪表板.
  • 包括与自闭症和非自闭症研究人员的审查过程以及参与者的选择性联系登记.

主要成果:

  • 该ICR框架旨在标准化自闭症研究数据收集,并加强研究间的一致性.
  • 公共数据仪表板将显示聚合,非识别数据,促进透明度.
  • 一个可选择的联系登记册将促进参与者的招聘和参与.

结论:

  • 该ICR框架通过标准化数据收集和提高透明度,促进公平的自闭症研究.
  • 加强协作和数据可访问性是ICR的主要成果.
  • 通过优先考虑他们的声音和需求,ICR基础设施支持有利于自闭症个体的研究.