INTRODUCTIONDegradation of fractal patterns in actigraphy independently predicts dementia risk. Such observations motivated the study to understand the role of fractal regulation in the context of neuropathologies.METHODSWe examined associations of fractal regulation with neuropathologies and longitudinal cognitive changes in 533 older participants who were followed annually with actigraphy and cognitive assessments until death with brain autopsy performed. Two measures for fractal patterns were extracted from actigraphy, namely, α1 (representing the fractal regulation at time scales of <90 min) and α2 (for time scales 2 to 10 h).RESULTSWe found that larger α1 was associated with lower burdens of Lewy body disease or cerebrovascular disease pathologies; both α1 and α2 were associated with cognitive decline. They explained an additional significant portion of the variance in the rate of cognitive decline above and beyond neuropathologies.DISCUSSIONFractal patterns may be used as a biomarker for cognitive resilience against dementia‐related neuropathologies.

中文翻译：

---

使用分形调节描绘认知弹性：来自 Rush Memory and Aging Project 的横断面和纵向证据

简介 体动记录仪中分形图案的退化独立预测痴呆风险。这些观察结果促使该研究了解分形调节在神经病理学背景下的作用。方法我们检查了 533 名老年参与者的分形调节与神经病理学和纵向认知变化的关联，这些参与者每年进行体动记录和认知评估，直到死亡并进行脑尸检。从体动记录仪中提取了两种分形图案的测量值，即α1（代表<90分钟时间尺度的分形调节）和α2（时间尺度为 2 至 10 小时）。结果我们发现较大α1与路易体病或脑血管疾病病理负担较低相关；两个都α1和α2与认知能力下降有关。他们解释了神经病理学之外的认知衰退率差异的另一个显着部分。讨论分形模式可以用作针对痴呆相关神经病理学的认知弹性的生物标志物。