Volumes of medial temporal lobe structures in patients with Alzheimer's disease and mild cognitive impairment (and in healthy controls)
Volumes of medial temporal lobe structures in patients with Alzheimer's disease and mild cognitive impairment (and in healthy controls)
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DOI：
10.1016/s0006-3223(97)00013-9
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发表时间：
1998-01-01
影响因子：
10.6
通讯作者：
Schapiro, MB
中科院分区：
文献类型：
--
作者：
Krasuski, JS;Alexander, GE;Schapiro, MB
背景：阿尔茨海默病（AD）的临床诊断在疾病的早期阶段可能很难进行。结构神经影像学为伴有轻度认知障碍的 AD 的临床诊断提供了潜在的工具。尸检研究表明，AD 的早期神经病理学发生在内侧颞叶边缘结构。评估轻度受损 AD 患者这些体积的磁共振成像 (MRI) 研究仍没有结论。方法：使用 MRI，我们测量了 13 名轻度认知障碍（在简易精神状态检查中定义为大于或等于 20）的 AD 患者以及 21 名年龄和性别匹配的健康对照者的左右海马、杏仁核以及前后海马旁回 (PHG) 的体积。结果：AD 患者除右前 PHG 外，内侧颞叶体积较小，使用 MRI 体积的判别功能分析产生了 94% 正确的组分类。结论：这些结果表明，在轻度受损的 AD 患者中，内侧颞叶结构存在萎缩；包含内嗅皮层的前 PHG 的 MRI 体积减少，但杏仁核和海马体积减少幅度更大；使用所有体积作为预测变量的判别函数分析可以正确地对很大比例的个体进行分类。
Background: The clinical diagnosis of Alzheimer's disease (AD) can be difficult to make in early stages of disease. Structural neuroimaging offers a potential tool in the clinical diagnosis of AD with mild cognitive impairment. Postmortem studies indicate that early neuropathology in AD occurs in medial temporal lobe limbic structures. Magnetic resonance imaging (MRI) studies that assessed these volumes in mildly impaired AD patients remain inconclusive.Methods: Using MRI, we measured volumes of left and right hippocampus, amygdala, and anterior and posterior parahippocampal gyrus (PHG) in 13 AD patients with mild cognitive impairment defined as greater than or equal to 20 on the Mini-Mental State Exam, and in 21 healthy age-and sex-matched controls.Results: The AD patients had smaller medial temporal lobe volumes, except for the right anterior PHG, Discriminant function analysis using MRI volumes produced 94% correct group classification.Conclusions: These results show that in mildly impaired AD patients atrophy is present in medial temporal lobe structures; that MRI volumes of the anterior PHG, which contains entorhinal cortex, are reduced, but the amygdala and hippocampal volumes show greater reduction; and that discriminant function analysis using all volumes as predictors can correctly classify a high proportion of individuals.