Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America.
Global Brain Health Institute, University of California, San Francisco, California, United States of America.
PLoS One. 2021 May 26;16(5):e0252076. doi: 10.1371/journal.pone.0252076. eCollection 2021.
There is an increasing awareness that sleep disturbances are a risk factor for dementia. Prior case-control studies suggested that brain grey matter (GM) changes involving cortical (i.e, prefrontal areas) and subcortical structures (i.e, putamen, thalamus) could be associated with insomnia status. However, it remains unclear whether there is a gradient association between these regions and the severity of insomnia in older adults who could be at risk for dementia. Since depressive symptoms and sleep apnea can both feature insomnia-related factors, can impact brain health and are frequently present in older populations, it is important to include them when studying insomnia. Therefore, our goal was to investigate GM changes associated with insomnia severity in a cohort of healthy older adults, taking into account the potential effect of depression and sleep apnea as well. We hypothesized that insomnia severity is correlated with 1) cortical regions responsible for regulation of sleep and emotion, such as the orbitofrontal cortex and, 2) subcortical regions, such as the putamen.
120 healthy subjects (age 74.8±5.7 years old, 55.7% female) were recruited from the Hillblom Healthy Aging Network at the Memory and Aging Center, UCSF. All participants were determined to be cognitively healthy following a neurological evaluation, neuropsychological assessment and informant interview. Participants had a 3T brain MRI and completed the Insomnia Severity Index (ISI), Geriatric Depression Scale (GDS) and Berlin Sleep Questionnaire (BA) to assess sleep apnea. Cortical thickness (CTh) and subcortical volumes were obtained by the CAT12 toolbox within SPM12. We studied the correlation of CTh and subcortical volumes with ISI using multiple regressions adjusted by age, sex, handedness and MRI scan type. Additional models adjusting by GDS and BA were also performed.
ISI and GDS were predominantly mild (4.9±4.2 and 2.5±2.9, respectively) and BA was mostly low risk (80%). Higher ISI correlated with lower CTh of the right orbitofrontal, right superior and caudal middle frontal areas, right temporo-parietal junction and left anterior cingulate cortex (p<0.001, uncorrected FWE). When adjusting by GDS, right ventral orbitofrontal and temporo-parietal junction remained significant, and left insula became significant (p<0.001, uncorrected FWE). Conversely, BA showed no effect. The results were no longer significant following FWE multiple comparisons. Regarding subcortical areas, higher putamen volumes were associated with higher ISI (p<0.01).
Our findings highlight a relationship between insomnia severity and brain health, even with relatively mild insomnia, and independent of depression and likelihood of sleep apnea. The results extend the previous literature showing the association of specific GM areas (i.e, orbitofrontal, insular and temporo-parietal junction) not just with the presence of insomnia, but across the spectrum of severity itself. Moreover, our results suggest subcortical structures (i.e., putamen) are involved as well. Longitudinal studies are needed to clarify how these insomnia-related brain changes in healthy subjects align with an increased risk of dementia.
越来越多的人意识到睡眠障碍是痴呆的一个风险因素。先前的病例对照研究表明,涉及皮质(即前额叶区域)和皮质下结构(即壳核、丘脑)的脑灰质(GM)变化可能与失眠状态有关。然而,目前尚不清楚这些区域与老年人失眠严重程度之间是否存在梯度关联,而老年人可能有患痴呆的风险。由于抑郁症状和睡眠呼吸暂停都有与失眠相关的因素,会影响大脑健康,并且在老年人群中经常出现,因此在研究失眠时,将其纳入考虑非常重要。因此,我们的目标是研究与健康老年人失眠严重程度相关的 GM 变化,并考虑抑郁和睡眠呼吸暂停的潜在影响。我们假设失眠严重程度与 1)负责调节睡眠和情绪的皮质区域有关,例如眶额皮质和 2)皮质下区域有关,例如壳核。
从旧金山加州大学记忆与衰老中心的 Hillblom 健康老龄化网络招募了 120 名健康受试者(年龄 74.8±5.7 岁,55.7%为女性)。所有参与者均在神经学评估、神经心理学评估和知情者访谈后被确定为认知健康。参与者进行了 3T 脑 MRI 检查,并完成了失眠严重程度指数(ISI)、老年抑郁量表(GDS)和柏林睡眠问卷(BA)以评估睡眠呼吸暂停。通过 SPM12 中的 CAT12 工具包获得皮质厚度(CTh)和皮质下体积。我们使用多元回归分析调整了年龄、性别、惯用手和 MRI 扫描类型,研究了 ISI 与 CTh 和皮质下体积之间的相关性。还进行了调整 GDS 和 BA 的附加模型。
ISI 和 GDS 主要为轻度(分别为 4.9±4.2 和 2.5±2.9),BA 大多为低风险(80%)。较高的 ISI 与右侧眶额、右侧额上和额中回、右侧颞顶联合区和左侧前扣带回皮质的 CTh 降低相关(p<0.001,未校正 FWE)。当调整 GDS 时,右侧腹侧眶额和颞顶联合区仍然显著,左侧岛叶变得显著(p<0.001,未校正 FWE)。相反,BA 没有影响。在 FWE 多次比较后,结果不再显著。关于皮质下区域,较高的壳核体积与较高的 ISI 相关(p<0.01)。
我们的研究结果强调了失眠严重程度与大脑健康之间的关系,即使是相对轻度的失眠也是如此,并且与抑郁和睡眠呼吸暂停无关。结果扩展了先前的文献,表明特定的 GM 区域(即眶额、岛叶和颞顶联合区)不仅与失眠的存在有关,而且与严重程度本身有关。此外,我们的结果表明皮质下结构(即壳核)也参与其中。需要进行纵向研究以阐明健康受试者中这些与失眠相关的大脑变化如何与痴呆风险增加相关。