通过脑部影像分析揭示阿尔茨海默病各阶段海马萎缩模式。
Hippocampal Atrophy Patterns Across the Alzheimer's Disease Spectrum: A Voxel-Based Morphometry Analysis
- 基于体素的形态学分析，量化海马体积变化。
- 阿尔茨海默病患者海马萎缩程度是对照组的2.03倍。
- 海马体积可中度预测轻度认知障碍进展为阿尔茨海默病。
阿尔茨海默病（AD）和轻度认知障碍（MCI）与灰质进行性丢失相关，尤其在内侧颞叶结构。本研究利用CAT12/SPM12对249名ADNI参与者（对照组CN = 90，MCI = 129，AD = 30）的基线T1加权MRI扫描进行体素为基础的形态学分析。采用广义线性模型分析灰质体积，诊断分组为主要预测变量，年龄和总颅腔容积为协变量。统计图在体素水平设阈值p < 0.001，簇水平使用家族误差校正（FWE）校正多重比较（p < 0.05）。相较于对照组和MCI，AD患者海马萎缩显著（效应量Cohen's d = 2.03和1.61）。海马体积对从MCI转为AD具有中等预测能力（AUC = 0.66）。按APOE4状态分层分析未发现显著遗传效应。结果支持内侧颞叶退化是AD进展的关键特征，并为预测生物标志物和遗传影响提供依据。
原文摘要 · Abstract (English)
Alzheimer's disease (AD) and mild cognitive impairment (MCI) are associated with progressive gray matter loss, particularly in medial temporal structures. In this study, CAT12/SPM12 voxel-based morphometry was applied to baseline T1-weighted MRI scans from 249 ADNI participants (CN = 90, MCI = 129, AD = 30). Gray matter volume was analyzed using a general linear model, with the diagnostic group as primary predictor and age and total intracranial volume as covariates. Statistical maps were thresholded at p < 0.001 (voxelwise) and corrected for multiple comparisons at the cluster level using family-wise error (FWE) correction (p < 0.05). Significant hippocampal atrophy was observed in AD relative to CN and MCI (Cohen's d = 2.03 and 1.61, respectively). Hippocampal volume demonstrated moderate predictive value for conversion from MCI to AD (AUC = 0.66). Stratification by APOE4 status did not reveal significant genetic effects on cross-sectional hippocampal volume. These results support medial temporal degeneration as a key feature of AD progression and provide insights into predictive biomarkers and genetic influences.
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