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年龄相关性认知障碍的闭环康复

Closed-loop rehabilitation of age-related cognitive disorders.

作者信息

Mishra Jyoti, Gazzaley Adam

机构信息

Departments of Neurology, Physiology and Psychiatry, University of California, San Francisco, San Francisco, California.

出版信息

Semin Neurol. 2014 Nov;34(5):584-90. doi: 10.1055/s-0034-1396011. Epub 2014 Dec 17.

Abstract

Cognitive deficits are common in older adults, as a result of both the natural aging process and neurodegenerative disease. Although medical advancements have successfully prolonged the human lifespan, the challenge of remediating cognitive aging remains. The authors discuss the current state of cognitive therapeutic interventions and then present the need for development and validation of more powerful neurocognitive therapeutics. They propose that the next generation of interventions be implemented as closed-loop systems that target specific neural processing deficits, incorporate quantitative feedback to the individual and clinician, and are personalized to the individual's neurocognitive capacities using real-time performance-adaptive algorithms. This approach should be multimodal and seamlessly integrate other treatment approaches, including neurofeedback and transcranial electrical stimulation. This novel approach will involve the generation of software that engages the individual in an immersive and enjoyable game-based interface, integrated with advanced biosensing hardware, to maximally harness plasticity and assure adherence. Introducing such next-generation closed-loop neurocognitive therapeutics into the mainstream of our mental health care system will require the combined efforts of clinicians, neuroscientists, bioengineers, software game developers, and industry and policy makers working together to meet the challenges and opportunities of translational neuroscience in the 21st century.

摘要

认知缺陷在老年人中很常见,这是自然衰老过程和神经退行性疾病共同作用的结果。尽管医学进步成功地延长了人类寿命,但修复认知衰老的挑战依然存在。作者讨论了认知治疗干预的现状,然后提出需要开发和验证更有效的神经认知疗法。他们建议将下一代干预措施作为闭环系统实施,该系统针对特定的神经处理缺陷,向个体和临床医生提供定量反馈,并使用实时性能自适应算法根据个体的神经认知能力进行个性化定制。这种方法应该是多模式的,并无缝整合其他治疗方法,包括神经反馈和经颅电刺激。这种新颖的方法将涉及生成软件,使个体参与到一个沉浸式且有趣的基于游戏的界面中,并与先进的生物传感硬件集成,以最大程度地利用可塑性并确保依从性。将这种下一代闭环神经认知疗法引入我们心理健康护理系统的主流,需要临床医生、神经科学家、生物工程师、软件游戏开发者以及行业和政策制定者共同努力,以应对21世纪转化神经科学的挑战和机遇。

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