Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hum Brain Mapp. 2020 Aug 1;41(11):3034-3044. doi: 10.1002/hbm.24995. Epub 2020 Apr 2.
Alzheimer's disease (AD) and sleep-disordered breathing (SDB) are prevalent conditions with a rising burden. It is suggested that SDB may contribute to cognitive decline and advanced aging. Here, we assessed the link between self-reported SDB and gray matter volume in patients with AD, mild cognitive impairment (MCI) and healthy controls (HCs). We further investigated whether SDB was associated with advanced brain aging. We included a total of 330 participants, divided based on self-reported history of SDB, and matched across diagnoses for age, sex and presence of the Apolipoprotein E4 allele, from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Gray-matter volume was measured using voxel-wise morphometry and group differences in terms of SDB, cognitive status, and their interaction were assessed. Further, using an age-prediction model fitted on gray-matter data of external datasets, we predicted study participants' age from their structural images. Cognitive decline and advanced age were associated with lower gray matter volume in various regions, particularly in the bilateral temporal lobes. Brains age was well predicted from the morphological data in HCs and, as expected, elevated in MCI and particularly in AD subjects. However, there was neither a significant difference between regional gray matter volume in any diagnostic group related to the SDB status, nor in SDB-by-cognitive status interaction. Moreover, we found no difference in estimated chronological age gap related to SDB, or by-cognitive status interaction. Contrary to our hypothesis, we were not able to find a general or a diagnostic-dependent association of SDB with either gray-matter volumetric or brain aging.
阿尔茨海默病(AD)和睡眠呼吸障碍(SDB)是普遍存在的疾病,其负担日益加重。有研究表明,SDB 可能导致认知能力下降和衰老加速。在这里,我们评估了 AD、轻度认知障碍(MCI)和健康对照组(HCs)患者中自我报告的 SDB 与灰质体积之间的联系。我们进一步研究了 SDB 是否与大脑衰老加速有关。我们共纳入了 330 名参与者,根据自我报告的 SDB 史进行分组,并根据年龄、性别和载脂蛋白 E4 等位基因的存在与阿尔茨海默病神经影像学倡议(ADNI)进行了匹配。使用体素形态计量法测量灰质体积,并评估了 SDB、认知状态及其相互作用方面的组间差异。此外,我们使用基于外部数据集灰质数据拟合的年龄预测模型,从结构图像预测研究参与者的年龄。认知能力下降和衰老与各种区域的灰质体积减少有关,特别是在双侧颞叶。在 HCs 中,从形态数据可以很好地预测大脑年龄,而且正如预期的那样,MCI 患者,尤其是 AD 患者的大脑年龄会升高。然而,在任何与 SDB 状态相关的诊断组的区域灰质体积或 SDB-认知状态相互作用方面,均未发现显著差异。此外,我们发现与 SDB 相关的或由认知状态引起的估计的年龄差距没有差异。与我们的假设相反,我们未能发现 SDB 与灰质体积或大脑衰老之间存在普遍或依赖于诊断的关联。