Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Excellence Cluster (NCRC), Berlin, Germany.
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Stroke Research Berlin (CSB), Berlin, Germany.
PLoS One. 2021 May 13;16(5):e0251544. doi: 10.1371/journal.pone.0251544. eCollection 2021.
Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian activity patterns. Here, we present an improved functional data analysis approach to model activity patterns and circadian rhythms from accelerometer data. As a use case, we demonstrated its application in patients with mild cognitive impairment (MCI) and age-matched healthy older volunteers (HOV).
Data of two studies were pooled for this analysis. Following baseline cognitive assessment participants were provided with accelerometers for seven consecutive days. A function on scalar regression (FoSR) approach was used to analyze 24 hours accelerometer data.
Information on 48 HOV (mean age 65 SD 6 years) and 18 patients with MCI (mean age 70, SD 8 years) were available for this analysis. MCI patients displayed slightly lower activity in the morning hours (minimum relative activity at 6:05 am: -41.3%, 95% CI -64.7 to -2.5%, p = 0.031) and in the evening (minimum relative activity at 21:40 am: -48.4%, 95% CI -68.5 to 15.4%, p = 0.001) as compared to HOV after adjusting for age and sex.
Using a novel approach of FoSR, we found timeframes with lower activity levels in MCI patients compared to HOV which were not evident if sum scores of amount of activity were used, possibly indicating that changes in circadian rhythmicity in neurodegenerative disease are detectable using easy-to-administer accelerometry.
Effects of Brain Stimulation During Nocturnal Sleep on Memory Consolidation in Patients With Mild Cognitive Impairments, ClinicalTrial.gov identifier: NCT01782391. Effects of Brain Stimulation During a Daytime Nap on Memory Consolidation in Patients With Mild Cognitive Impairment, ClinicalTrial.gov identifier: NCT01782365.
许多报告加速度计数据的临床研究使用总和评分指标，如中等到剧烈活动所花费的时间百分比，这些指标不能深入了解 24 小时内活动模式的差异，因此不能充分描述昼夜活动模式。在这里，我们提出了一种改进的功能数据分析方法，用于对加速度计数据进行活动模式和昼夜节律建模。作为一个用例，我们展示了它在轻度认知障碍（MCI）患者和年龄匹配的健康老年人（HOV）中的应用。
本分析汇总了两项研究的数据。在基线认知评估后，参与者被提供了 7 天连续的加速度计。使用标量回归函数（FoSR）方法分析 24 小时的加速度计数据。
共有 48 名 HOV（平均年龄 65 岁，标准差 6 岁）和 18 名 MCI 患者（平均年龄 70 岁，标准差 8 岁）的信息可用于本分析。与 HOV 相比，MCI 患者在早晨（6:05 时最小相对活动：-41.3%，95%置信区间-64.7 至-2.5%，p = 0.031）和晚上（21:40 时最小相对活动：-48.4%，95%置信区间-68.5 至 15.4%，p = 0.001）的活动水平较低，调整年龄和性别后。
使用 FoSR 的新方法，我们发现 MCI 患者在与 HOV 相比，在某些时间段的活动水平较低，如果使用活动量的总和评分，这些差异并不明显，这可能表明在神经退行性疾病中，昼夜节律变化可以通过易于管理的加速度计检测到。
夜间睡眠期间的脑刺激对轻度认知障碍患者记忆巩固的影响，临床试验.gov 标识符：NCT01782391。白天小睡期间的脑刺激对轻度认知障碍患者记忆巩固的影响，临床试验.gov 标识符：NCT01782365。
