Insomnia, early and late rising are associated with small hippocampal volume and large white matter hyperintensity burden.

IF 7.9 1区 医学 Q1 CLINICAL NEUROLOGY
Clémence Cavaillès, Sylvaine Artero, Jerome J Maller, Isabelle Jaussent, Yves Dauvilliers
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引用次数: 0

Abstract

Background: Sleep disturbances have been associated with an increased risk of dementia. The mechanisms remain unclear, although neurodegenerative and vascular pathways are potentially involved. Hence, our study aims to investigate the relationships between several clinical sleep and polysomnographic features and volumes of hippocampus (indicative of neurodegeneration) and white matter hyperintensities (WMH) (reflecting vascular processes).

Methods: In this cross-sectional study, 678 participants aged 65-80 from the French population-based ESPRIT cohort with MRI-measured hippocampus and/or WMH volumes were included. Self-reported sleep data were collected at baseline, and 176 participants underwent ambulatory polysomnography (PSG). We performed multivariable logistic regression to assess associations between sleep characteristics and hippocampal and WMH volumes.

Results: Participants' median age was 70.7 years (Q1-Q3 = 67.8-74.0), with 52.4% being women. Early (≤ 6 am; odds ratio (OR) = 2.03, 95% confidence interval (CI) = 1.17;3.53) and late (> 8 am; OR = 2.14, 95%CI = 1.33;3.43) rising times were associated with low hippocampal volume. Early rising time (OR = 2.06, 95%CI = 1.24;3.43) and insomnia symptoms (OR = 1.84, 95%CI = 1.18;2.86 for 1 symptom, OR = 1.91, 95%CI = 1.18;3.09 for 2-3 symptoms) were associated with large WMH volume, whereas late bedtime (≥ 11 pm; OR = 0.56, 95%CI = 0.39;0.80) was associated with low WMH volume. Based on PSG data, higher rapid-eye movement (REM) sleep percentage (OR = 0.70, 95%CI = 0.50;0.96) was associated with low WMH volume, with similar trends for long sleep bouts duration, N3 and REM sleep durations (p = 0.05 to 0.07). Conversely, higher N2 sleep percentage (OR = 1.69, 95%CI = 1.09;2.62), longer NREM sleep bouts (OR = 1.46, 95%CI = 1.02;2.09), and higher periodic leg movements index (OR = 1.55, 95%CI = 1.02;2.26) were associated with large WMH volume. However, no PSG parameter associations remained after false discovery rate correction.

Conclusions: Distinct associations between sleep characteristics and hippocampal and WMH volumes were observed, highlighting the important relationships between sleep, sleep timing and brain structure.

失眠、早起晚起与海马体积小、白质高负荷大有关。
背景:睡眠障碍与痴呆风险增加有关。机制尚不清楚,尽管神经退行性和血管通路可能参与其中。因此,我们的研究旨在探讨临床睡眠和多导睡眠图特征与海马体积(表明神经退行性变)和白质高强度(反映血管过程)之间的关系。方法:在这项横断面研究中,678名年龄在65-80岁之间的法国人群ESPRIT队列参与者被纳入mri测量海马和/或WMH体积。在基线时收集自我报告的睡眠数据,并对176名参与者进行了动态多导睡眠仪(PSG)检查。我们采用多变量逻辑回归来评估睡眠特征与海马和WMH体积之间的关联。结果:参与者的中位年龄为70.7岁(Q1-Q3 = 67.8-74.0),其中52.4%为女性。早(≤6 am;优势比(OR) = 2.03, 95%可信区间(CI) = 1.17;OR = 2.14, 95%CI = 1.33;3.43)上升时间与海马体积低相关。早起时间(OR = 2.06, 95%CI = 1.24;3.43)和失眠症状(OR = 1.84, 95%CI = 1.18; 1种症状OR = 2.86, OR = 1.91, 95%CI = 1.18; 2-3种症状OR = 3.09)与WMH体积大相关,而晚睡时间(≥11pm;OR = 0.56, 95%CI = 0.39;0.80)与低WMH体积相关。基于PSG数据,较高的快速眼动(REM)睡眠百分比(OR = 0.70, 95%CI = 0.50;0.96)与较低的WMH量相关,与较长的睡眠时间、N3和REM睡眠持续时间相关(p = 0.05 ~ 0.07)。相反,较高的N2睡眠比例(OR = 1.69, 95%CI = 1.09;2.62)、较长的NREM睡眠时间(OR = 1.46, 95%CI = 1.02;2.09)和较高的周期性腿部运动指数(OR = 1.55, 95%CI = 1.02;2.26)与WMH体积大相关。然而,在错误发现率校正后,PSG参数关联不存在。结论:观察到睡眠特征与海马和WMH体积之间存在明显关联,突出了睡眠、睡眠时间和大脑结构之间的重要关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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