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Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings.

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相关实验视频

Updated: Jun 20, 2026

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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使用虚拟现实游戏评估注意力和冲动性.

David Mendez-Encinas1, Aaron Sujar2, Sofia Bayona3

  • 1Departamento de Estádistica, Universidad Carlos III de Madrid, Leganes, Spain.

Scientific reports
|August 22, 2023
PubMed
概括

这项研究引入了一个虚拟现实游戏,使用眼睛跟踪和性能数据来测量注意力和冲动性. 研究结果显示,VR数据可以预测认知得分,突出显示眼动指标.

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科学领域:

  • 认知科学 认知科学
  • 人与计算机的交互
  • 心理学 心理学 心理学

背景情况:

  • 认知功能评估传统上依赖于标准化的神经心理测试.
  • 这些测试广泛应用于人员选择,教育和医疗保健.
  • 需要更多的沉浸式和连续的认知评估方法.

研究的目的:

  • 开发和评估虚拟现实 (VR) 游戏,以持续测量认知表现和行为.
  • 调查VR收集数据的潜力,以预测注意力控制量表测试和巴拉特冲动性量表的分数.
  • 在VR中识别与注意力和冲动性相关的关键行为和眼动指标.

主要方法:

  • 设计了一个VR应用程序,以捕获持续的用户性能和行为数据,包括通过VR眼镜的眼动.
  • 从使用VR应用程序的试点组收集的数据.
  • 开发了一个随机森林回归模型,以根据VR数据预测基于注意力和冲动性尺度的得分.
  • 分析了各种指标的预测能力,包括凝视模式,眼和瞳孔膨胀.

主要成果:

  • 基于VR的模型显示了与注意力 (0.434) 和冲动性 (0.382) 分数的正相关性.
  • 确定的主要预测变量包括观看目标/分散注意力的时间,眼动变化,眼频率和瞳孔膨胀.
  • 这些发现表明,特定的眼睛跟踪和行为指标在评估认知状态方面的重要作用.

结论:

  • 虚拟现实提供了一个可行的平台,用于收集丰富,连续的数据用于认知评估.
  • 基于VR的眼睛跟踪和行为数据可以有效地预测个人的注意力和冲动程度.
  • 该研究验证了沉浸式技术的使用,以提高认知功能评估的准确性和生态有效性.