在被诊断为注意力缺陷多动性障碍的儿童中进行计算机化认知再培训 (ReadON.ai)
Jagriti Grover1, Sampurna Chakraborty2, Rushi3
1Institute of Behavioural (Health) and Allied Sciences, AUUP, Noida, Uttar Pradesh, India.
Industrial psychiatry journal
|February 3, 2025
概括
使用ReadON.ai进行计算机化认知再培训,显示了提高注意力缺陷多动障碍 (ADHD) 儿童认知功能的可行性. 这种创新方法增强了注意力,记忆力和推理能力,提供了超越传统ADHD治疗的有希望的途径.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 教育技术的教育技术
背景情况:
- 注意缺陷多动症 (ADHD) 影响全球8%的儿童,呈现出影响情绪和行为调整的认知缺陷.
- 传统的ADHD治疗方法往往无法解决核心认知领域,需要创新的干预措施.
- 计算机化认知再培训,特别是使用ReadON.ai,是一种新兴的技术,具有ADHD管理的潜力,尽管它的有效性需要进一步研究.
研究的目的:
- 评估计算机化认知再培训 (ReadON.ai) 的可行性,以提高被诊断为ADHD的儿童的认知能力.
主要方法:
- 一项干预前后研究,涉及6名被诊断患有ADHD的儿童 (7-11岁).
- 参与者在10周内完成了30小时的ReadON.ai认知训练,重点关注注意力,工作记忆,学习,感知和推理.
- 在干预之前和之后,使用康纳斯的4 Parent版本和ReadON.ai CSA评估认知功能.
主要成果:
- 干预后观察到注意力,集中力,工作记忆,学习,记忆,感知和推理的显著改善 (P < 0.001).
- 过度活跃,冲动,情绪失调的减少,以及学业和同龄人互动的改善.
- 在大多数评估的认知和行为领域中,效应大小从中等到大.
结论:
- 使用ReadON.ai进行计算机化认知再培训是一种可行且有效的方法,可以提高ADHD儿童的关键认知能力.
- 这项技术为传统的ADHD干预提供了一个有希望的补充方法,针对关键的认知缺陷.
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