Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

到2010年，美国65岁的成年人人口将从5410万增长到9470万 2060年，这种人口结构的转变将伴随着痴呆症的大幅增加 流行率。越来越多的文献支持睡眠障碍和认知之间的关键联系 减损和衰退。睡眠不佳，特别是会减少慢波振荡 发生在非快速眼动(NREM)慢波睡眠(SWS)期间，正在被研究为 可能的干预点。在SWS期间，白天编码的记忆痕迹是 重新激活，加强，并从海马体转移到新皮质，在那里它们 变得更持久、更长久的记忆。因此，SWS显示出作为目标的前景 旨在调节AD的病理生理和减缓甚至预防AD的治疗方法。在 在这项提议中，我们正在开发一种可穿戴技术，可以减缓老年人的认知衰退 成年人在自己的家里舒适地生活。我们的数字治疗仪使用了EEG头带和 在慢波睡眠期间进行闭合环路神经刺激以增强大脑活动。通过调整这一点 技术以满足老年人的独特需求，并包装复杂的传感器、电路、 和算法，我们正在将这项实验室技术转化为一种 无障碍治疗。

The U.S. population of adults aged ≥65 years will grow from 54.1 to 94.7 million by the year 2060 and this demographic shift will be accompanied by a substantial increase in dementia prevalence. A growing literature supports a critical link between sleep disturbance and cognitive impairment and decline. Poor sleep, specifically decrements in the slow-wave oscillations that occur during non-rapid eye movement (NREM) slow-wave sleep (SWS), are being studied as possible points of intervention. During SWS, memory traces encoded during the day are reactivated, strengthened, and transferred from the hippocampus to the neocortex, where they become more durable, long-term memories. Thus, SWS shows promise as a target for therapies aimed at modulating AD pathophysiology and slowing or even preventing AD. Within this proposal, we are developing a wearable technology that slows cognitive decline in older adults in the comfort of their own homes. Our digital therapeutic employs an EEG headband and closed-loop neurostimulation to enhance brain activity during slow wave sleep. By adapting this technology to the unique needs of older adults and packaging the complex sensors, circuitry, and algorithms into a comfortable headband, we are translating this laboratory technique into an accessible therapy.