儿童ADHD数字药物的神经机制、应用进展与临床挑战

    Neural Mechanism, Application Progress and Clinical Challenges of Digital Drugs for ADHD Children

    • 摘要: 注意缺陷多动障碍(attention deficit hyperactivity disorder,ADHD)的传统药物治疗存在不良反应发生率高、依从性与社会接受度不佳等问题。作为软件驱动的治疗手段,数字药物(digital drugs,DD)为儿童ADHD提供了安全、可扩展且可个体化的干预选择。本综述聚焦于ADHD的DD,首先从神经机制角度揭示其可能的作用机制;其次,系统评述了包括游戏化认知训练、行为监测和反馈系统、沉浸式交互技术和人工智能驱动的个性化干预在内的主要技术路径及其临床应用证据;最后,客观比较了DD与传统药物在疗效、安全性及经济性等方面的差异,并探讨了其在应用中的挑战与前景,以期为构建药物与DD相结合的综合治疗体系提供新思路。

       

      Abstract: Traditional pharmacological treatments for attention deficit hyperactivity disorder(ADHD) are limited by high incidence of adverse reactions, suboptimal adherence, and modest social acceptance. As software-driven therapeutic interventions, digital drugs(DD) offer safe, scalable, and personalized options for children with ADHD. This review focuses on DD in ADHD management: first, it explores potential neural mechanisms underlying their effects; second, it systematically summarizes major technological approaches—including gamified cognitive training, behavioral monitoring and feedback systems, immersive interaction technologies, and AI-driven personalized interventions—together with supporting clinical evidence; finally, it objectively compares DD with conventional medications in terms of efficacy, safety, and cost-effectiveness, and discusses current challenges and future directions, aiming to provide insights for building integrated treatment frameworks that combine pharmacotherapy with DD.

       

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