Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.
Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.
Exp Gerontol. 2022 Oct 1;167:111923. doi: 10.1016/j.exger.2022.111923. Epub 2022 Aug 10.
We investigated whether device-measured sleep parameters are associated with cortical thickness in older adults with probable mild cognitive impairment (MCI). We performed a cross-sectional, exploratory analysis of sleep and structural MRI data. Sleep data were collected with MotionWatch8© actigraphy over 7 days. We computed average and variability for sleep duration, sleep efficiency, and fragmentation index. T1-weighted MRI scans were used to measure cortical thickness in FreeSurfer. We employed surface-based analysis to determine the association between sleep measures and cortical thickness, adjusting for age, sex, Montreal Cognitive Assessment (MoCA) score, and sleep medication use. Our sample included 113 participants (age = 73.1 [5.7], female = 72 [63.7 %]). Higher fragmentation index variability predicted lower cortical thickness in the left superior frontal gyrus (cluster size = 970.9 mm, cluster-wise p = 0.017, cortical thickness range = 2.1 mm to 3.0 mm), adjusting for age, sex, MoCA, and sleep medication. Our results suggest that higher variability in sleep fragmentation, an indicator of irregular sleep pattern, is linked to lower cortical thickness. Future longitudinal studies are needed to determine the directionality of these associations.
我们研究了设备测量的睡眠参数是否与患有可能轻度认知障碍(MCI)的老年人的皮质厚度有关。我们对睡眠和结构 MRI 数据进行了横断面、探索性分析。使用 MotionWatch8©活动记录仪在 7 天内收集睡眠数据。我们计算了睡眠持续时间、睡眠效率和碎片化指数的平均值和变异性。使用 T1 加权 MRI 扫描在 FreeSurfer 中测量皮质厚度。我们采用基于表面的分析来确定睡眠测量值与皮质厚度之间的关联,调整了年龄、性别、蒙特利尔认知评估(MoCA)评分和睡眠药物使用情况。我们的样本包括 113 名参与者(年龄=73.1[5.7],女性=72[63.7%])。碎片化指数变异性较高预示着左侧额上回皮质厚度较低(簇大小=970.9 毫米,簇水平 p=0.017,皮质厚度范围=2.1 毫米至 3.0 毫米),调整了年龄、性别、MoCA 和睡眠药物的影响。我们的研究结果表明,不规则睡眠模式的指标——睡眠碎片化变异性较高,与皮质厚度较低有关。未来的纵向研究需要确定这些关联的方向性。