通过人工智能优化进行个性化的家庭神经刺激可以增加持续的注意力
Roi Cohen Kadosh1,2, Delia Ciobotaru3,4, Malin I Karstens5,6
1School of Psychology, University of Surrey, Guildford, UK. r.cohenkadosh@surrey.ac.uk.
NPJ digital medicine
|July 29, 2025
概括
这项研究引入了一种人工智能算法,用于个性化大脑刺激,以改善在家持续的注意力. 它远程调整设置,以便在现实应用中有效地进行认知增强和治疗.
科学领域:
- 神经科学和人工智能 人工智能
- 认知增强技术 认知增强技术
背景情况:
- 基于大脑的增强技术与个性化和现实世界的应用扎.
- 现有的方法缺乏针对家庭认知增强的定制神经刺激.
研究的目的:
- 开发一个人工智能驱动的个性化贝叶斯优化算法,用于远程神经刺激参数的调整.
- 为了提高个人在家庭环境中的持续注意力.
- 确保认知增强技术的可扩展性和现实世界的翻译.
主要方法:
- 利用人工智能驱动的个性化贝叶斯优化算法.
- 根据个人基线能力和头部解剖学,远程调整的神经刺激参数.
- 通过in silico建模和双盲模拟控制研究验证了该方法.
主要成果:
- 人工智能算法成功地个性化神经刺激,以提高持续的注意力.
- 该方法与基于MRI的模型和神经生物学理论一致.
- 效率得到了最大化,显示了可扩展,现实世界的认知增强的潜力.
结论:
- 人工智能驱动的个性化神经刺激为家庭认知增强提供了可行的解决方案.
- 开发的算法使得可扩展和有效的认知疗法在现实世界中设置.
- 这种方法克服了基于大脑的技术的个性化和翻译方面的关键挑战.
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