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Abstract：
UNASSIGNED: To assess the association of inner retinal thickness with prevalent dementia and regional brain atrophy in a general older population of Japanese.
UNASSIGNED: Population-based, cross-sectional study.
UNASSIGNED: A total of 1078 residents aged 65 years or older who participated in an eye examination, a comprehensive survey of dementia, and brain magnetic resonance imaging scanning in 2017.
UNASSIGNED: The thicknesses of the inner retinal layers, namely, the ganglion cell-inner plexiform layer (GC-IPL) and retinal nerve fiber layer (RNFL)-were measured by swept-source OCT (SS-OCT). The association of these retinal thicknesses with the risk of the presence of dementia was estimated using restricted cubic splines and logistic regression models. Regional brain volumes were estimated separately by applying 2 different methods: voxel-based morphometry (VBM) and analysis by FreeSurfer software. The associations of GC-IPL and RNFL thickness with each brain regional volume were analyzed using multiple regression analysis.
UNASSIGNED: Prevalent dementia and regional brain atrophy.
UNASSIGNED: Among the study participants, 61 participants (5.7%) were diagnosed with dementia. The likelihood of the presence of dementia significantly increased with lower GC-IPL thickness after adjusting for potential confounders (odds ratio, 1.62 [95% confidence interval, 1.30-2.01] per 1 standard deviation decrement in the GC-IPL thickness), but no significant association was observed with RNFL thickness. In the VBM analyses with the multivariable adjustment, lower GC-IPL thickness was significantly associated with lower volume of known brain regions related to cognitive functions (i.e., the hippocampus, amygdala, entorhinal area, and parahippocampal gyrus) and visual functions (i.e., the cuneus, lingual gyrus, and thalamus). Meanwhile, the volume of the thalamus significantly decreased with lower RNFL thickness, but none of the brain regions related to cognitive function exhibited a volume change in association with RNFL thickness. The sensitivity analysis using FreeSurfer analysis also showed that lower GC-IPL thickness was significantly associated with lower regional brain volume/intracranial volume of the hippocampus, amygdala, cuneus, lingual gyrus, and thalamus.
UNASSIGNED: Our findings suggest that the measurement of GC-IPL thickness by SS-OCT, which is a noninvasive, convenient, and reproducible method, might be useful for identifying high-risk individuals with dementia.
UNASSIGNED: Population-based, cross-sectional study.
UNASSIGNED: A total of 1078 residents aged 65 years or older who participated in an eye examination, a comprehensive survey of dementia, and brain magnetic resonance imaging scanning in 2017.
UNASSIGNED: The thicknesses of the inner retinal layers, namely, the ganglion cell-inner plexiform layer (GC-IPL) and retinal nerve fiber layer (RNFL)-were measured by swept-source OCT (SS-OCT). The association of these retinal thicknesses with the risk of the presence of dementia was estimated using restricted cubic splines and logistic regression models. Regional brain volumes were estimated separately by applying 2 different methods: voxel-based morphometry (VBM) and analysis by FreeSurfer software. The associations of GC-IPL and RNFL thickness with each brain regional volume were analyzed using multiple regression analysis.
UNASSIGNED: Prevalent dementia and regional brain atrophy.
UNASSIGNED: Among the study participants, 61 participants (5.7%) were diagnosed with dementia. The likelihood of the presence of dementia significantly increased with lower GC-IPL thickness after adjusting for potential confounders (odds ratio, 1.62 [95% confidence interval, 1.30-2.01] per 1 standard deviation decrement in the GC-IPL thickness), but no significant association was observed with RNFL thickness. In the VBM analyses with the multivariable adjustment, lower GC-IPL thickness was significantly associated with lower volume of known brain regions related to cognitive functions (i.e., the hippocampus, amygdala, entorhinal area, and parahippocampal gyrus) and visual functions (i.e., the cuneus, lingual gyrus, and thalamus). Meanwhile, the volume of the thalamus significantly decreased with lower RNFL thickness, but none of the brain regions related to cognitive function exhibited a volume change in association with RNFL thickness. The sensitivity analysis using FreeSurfer analysis also showed that lower GC-IPL thickness was significantly associated with lower regional brain volume/intracranial volume of the hippocampus, amygdala, cuneus, lingual gyrus, and thalamus.
UNASSIGNED: Our findings suggest that the measurement of GC-IPL thickness by SS-OCT, which is a noninvasive, convenient, and reproducible method, might be useful for identifying high-risk individuals with dementia.
摘要：
未经证实：在日本的一般老年人群中，评估内部视网膜厚度与普遍痴呆和局部脑萎缩的关系。
未经评估：以人口为基础，横断面研究。
UNASSIGNED：共有1078名65岁或以上的居民参加了眼科检查，对痴呆症的全面调查，2017年进行脑磁共振成像扫描。
UNASSIGNED：视网膜内层的厚度，即,神经节细胞内丛状层（GC-IPL）和视网膜神经纤维层（RNFL）通过扫描源OCT（SS-OCT）测量。使用有限的三次样条和逻辑回归模型估计这些视网膜厚度与痴呆风险的关联。通过应用两种不同的方法分别估计局部脑体积:基于体素的形态计量学(VBM)和通过FreeSurfer软件的分析。使用多元回归分析GC-IPL和RNFL厚度与每个脑区域体积的关联。
未经证实：普遍痴呆和局部脑萎缩。
未经评估：在研究参与者中，61名参与者（5.7%）被诊断为痴呆症。在调整潜在的混杂因素后，随着GC-IPL厚度的降低，存在痴呆的可能性显着增加(比值比，1.62[95%置信区间，1.30-2.01]GC-IPL厚度每减少1个标准偏差),但与RNFL厚度无显著关联。在具有多变量调整的VBM分析中，较低的GC-IPL厚度与认知功能相关的已知大脑区域的体积较低显著相关(即，海马体,杏仁核,内嗅区,和海马旁回)和视觉功能(即，阴户,舌回,和丘脑）。同时,丘脑的体积随着RNFL厚度的降低而显著减少，但与认知功能相关的脑区均未表现出与RNFL厚度相关的体积变化。使用FreeSurfer分析的敏感性分析还显示，较低的GC-IPL厚度与较低的海马区域脑体积/颅内体积显着相关，杏仁核,Cuneus,舌回,还有丘脑.
UNASSIGNED：我们的发现表明，通过SS-OCT测量GC-IPL厚度，这是一种非侵入性的，方便,和可重复的方法，可能有助于识别痴呆症高危人群。
未经评估：以人口为基础，横断面研究。
UNASSIGNED：共有1078名65岁或以上的居民参加了眼科检查，对痴呆症的全面调查，2017年进行脑磁共振成像扫描。
UNASSIGNED：视网膜内层的厚度，即,神经节细胞内丛状层（GC-IPL）和视网膜神经纤维层（RNFL）通过扫描源OCT（SS-OCT）测量。使用有限的三次样条和逻辑回归模型估计这些视网膜厚度与痴呆风险的关联。通过应用两种不同的方法分别估计局部脑体积:基于体素的形态计量学(VBM)和通过FreeSurfer软件的分析。使用多元回归分析GC-IPL和RNFL厚度与每个脑区域体积的关联。
未经证实：普遍痴呆和局部脑萎缩。
未经评估：在研究参与者中，61名参与者（5.7%）被诊断为痴呆症。在调整潜在的混杂因素后，随着GC-IPL厚度的降低，存在痴呆的可能性显着增加(比值比，1.62[95%置信区间，1.30-2.01]GC-IPL厚度每减少1个标准偏差),但与RNFL厚度无显著关联。在具有多变量调整的VBM分析中，较低的GC-IPL厚度与认知功能相关的已知大脑区域的体积较低显著相关(即，海马体,杏仁核,内嗅区,和海马旁回)和视觉功能(即，阴户,舌回,和丘脑）。同时,丘脑的体积随着RNFL厚度的降低而显著减少，但与认知功能相关的脑区均未表现出与RNFL厚度相关的体积变化。使用FreeSurfer分析的敏感性分析还显示，较低的GC-IPL厚度与较低的海马区域脑体积/颅内体积显着相关，杏仁核,Cuneus,舌回,还有丘脑.
UNASSIGNED：我们的发现表明，通过SS-OCT测量GC-IPL厚度，这是一种非侵入性的，方便,和可重复的方法，可能有助于识别痴呆症高危人群。
