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早发性和晚发性阿尔茨海默病患者灰质体积减少的不同模式。

Different Patterns of Gray Matter Volume Reduction in Early-onset and Late-onset Alzheimer Disease.

机构信息

School of Medicine, Chiba University, Chiba, Japan.

Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.

出版信息

Cogn Behav Neurol. 2020 Dec;33(4):253-258. doi: 10.1097/WNN.0000000000000245.

Abstract

BACKGROUND

Individuals with early-onset Alzheimer disease (EOAD) differ from those with late-onset Alzheimer disease (LOAD) not only in genetics and age at onset but also in their clinical symptoms.

OBJECTIVE

To differentiate the neuropathological and neurocognitive features of EOAD and LOAD by comparing the pattern of regional gray matter volume (GMV) reduction and its symptomatic correlates.

METHOD

Three-dimensional T1-weighted MRIs and Mini-Mental State Examination (MMSE) scores were obtained from 12 individuals with EOAD, 65 with LOAD, and 49 healthy controls (HC). Regional GMV reduction between the three groups was assessed using voxel-based morphometry. Multiple regression analyses were conducted with MMSE total score as an independent variable.

RESULTS

Compared to the HC, both AD groups showed a significant GMV reduction in the bilateral hippocampus and the left temporoparietal junction; in addition, the LOAD group showed one in the bilateral anterior temporal lobes. Multiple regression analyses revealed a positive correlation between MMSE total score and GMV in the left anterior temporal lobe in both AD groups; that is, lower scores were associated with reduced GMV. Interestingly, a positive correlation in hippocampal GMV was revealed only in the LOAD group.

CONCLUSION

MMSE total score is associated with the anterior temporal lobe volume in individuals with AD. Hippocampal volume and its relationship with MMSE total score are associated with LOAD pathophysiology but not EOAD pathophysiology. The hippocampal volume reduction and low MMSE scores are hallmarks of LOAD but are less specific to EOAD, which may cause a delay in diagnosis.

摘要

背景

早发性阿尔茨海默病(EOAD)患者与晚发性阿尔茨海默病(LOAD)患者不仅在遗传和发病年龄上存在差异,而且在临床症状上也存在差异。

目的

通过比较区域性灰质体积(GMV)减少的模式及其与症状的相关性,来区分 EOAD 和 LOAD 的神经病理学和神经认知特征。

方法

从 12 名 EOAD 患者、65 名 LOAD 患者和 49 名健康对照者(HC)中获得三维 T1 加权 MRI 和 Mini-Mental State Examination(MMSE)评分。使用基于体素的形态计量学评估三组之间的区域 GMV 减少。将 MMSE 总分作为自变量进行多元回归分析。

结果

与 HC 相比,两组 AD 患者双侧海马体和左侧颞顶交界处的 GMV 均显著减少;此外,LOAD 组双侧前颞叶也出现了 GMV 减少。多元回归分析显示,两组 AD 患者的 MMSE 总分与左前颞叶 GMV 呈正相关;即,得分越低,GMV 减少越多。有趣的是,仅在 LOAD 组中发现了海马 GMV 的正相关。

结论

MMSE 总分与 AD 患者的前颞叶体积相关。海马体积及其与 MMSE 总分的关系与 LOAD 的病理生理学相关,但与 EOAD 的病理生理学无关。海马体积减少和 MMSE 评分较低是 LOAD 的标志,但对 EOAD 的特异性较低,可能导致诊断延迟。

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