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Assessing sleep architecture and cognition in older adults with depressive symptoms attending a memory clinic

萧条(经济学) 心理学 认知 听力学 多导睡眠图 神经心理学 慢波睡眠 睡眠(系统调用) 前额叶皮质 精神科 脑电图 神经科学 医学 经济 宏观经济学 操作系统 计算机科学
作者
Andrea Ricciardiello,Anna McKinnon,Loren Mowszowski,Haley M LaMonica,Zoe Menczel Schrire,C Haroutonian,A Lam,Ian B. Hickie,Angela L D’Rozario,Sharon L. Naismith
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:348: 35-43
标识
DOI:10.1016/j.jad.2023.12.032
摘要

While depression is intrinsically and bidirectionally linked with both sleep disturbance and cognition, the inter-relationships between sleep, cognition, and brain integrity in older people with depression, especially those with late-onset depression are undefined.One hundred and seventy-two older adults (mean age 64.3 ± 6.9 years, Depression: n = 66, Control: n = 106) attending a memory clinic underwent a neuropsychological battery of declarative memory, executive function tasks, cerebral magnetic resonance imaging and overnight polysomnography with quantitative electroencephalography.The time spent in slow-wave sleep (SWS) and rapid eye movement (REM) sleep, slow-wave activity, sleep spindles, hippocampal volume and prefrontal cortex thickness did not differ between depression and control and depression onset groups. However, sleep onset latency (p = 0.005) and REM onset latency (p = 0.02) were later in the Depression group compared to controls. Less SWS was associated with poorer memory (r = 0.31, p = 0.023) in the depression group, and less SWS was related to better memory in the control group (r = -0.20, p = 0.043; Fishers r-to-z = -3.19).Longitudinal studies are needed to determine if changes in sleep in those with depressive symptoms predict cognitive decline and illness trajectory.Older participants with depressive symptoms had delayed sleep initiation, suggestive of delayed sleep phase. The association between SWS and memory suggests SWS may be a useful target for cognitive intervention in older adults with depression symptoms. Reduced hippocampal volumes did not mediate this relationship, indicating a broader distributed neural network may underpin these associations.

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