海马和杏仁核亚区体积变化在轻度认知障碍和阿尔茨海默病患者中的研究。
Volume changes of hippocampal and amygdala subfields in patients with mild cognitive impairment and Alzheimer's disease.
机构信息
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou Jiangsu, China.
Department of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
出版信息
Acta Neurol Belg. 2023 Aug;123(4):1381-1393. doi: 10.1007/s13760-023-02235-9. Epub 2023 Apr 12.
BACKGROUND
Automated segmentation of hippocampal and amygdala subfields could improve classification accuracy of Mild Cognitive Impairments (MCI) and Alzheimer's Disease (AD) individuals.
METHODS
We applied T1-weighted magnetic resonance imaging (MRI) for 21 AD, 39 MCI and 32 normal control (NC) participants at 3-Tesla MRI. Twelve hippocampal subfields and 9 amygdala subfields in each hemisphere were analyzed using FreeSurfer 6.0.
RESULTS
Smaller volumes were observed in right/left whole hippocampus, right/left hippocampal tail, right/left subiculum, right Cornu ammonis 1(CA1), right/left molecular layer, right granule cell-molecular layer-dentate gyrus (GC-ML-DG), right CA4, right fimbria, right whole amygdala, right/left accessory basal, right anterior amygdala area, left central, left medial and right/left cortical nucleus of AD group compared to both MCI and NC groups (p < 0.001). The volumes of right presubiculum, right CA3, right hippocampus-amygdala-transition-area (HATA), right lateral, right basal, right central, right medial, right cortico-amygdaloid transition (CAT) and right paralaminar nucleus were significantly larger in NC than AD group (p ≤ 0.001), while the volumes of right subiculum, right CA1, right molecular layer, right whole hippocampus, right whole amygdala, right basal and right accessory basal were significantly larger in NC than MCI group (p ≤ 0.002). Trend analysis showed that most hippocampus and amygdala subfields have a trend of atrophy with the decline of cognitive function. Six core components were identified by the hierarchical clustering. The combined Receiver operating characteristic (ROC) analysis achieved the diagnostic performances (AUC: 0.81) in differentiating AD from MCI; (AUC: 0.79) in differentiating MCI from NC and (AUC: 0.97) in differentiating AD from NC.
CONCLUSIONS
Volumetric differences of hippocampus and amygdala were at a finer subfields scale, and the volumes of right basal nucleus, left parasubiculum, left medial nucleus, left GC-ML-DG, left hippocampal fissure, and right fimbria can be employed as neuroimaging biomarkers to assist the clinical diagnosis of MCI and AD.
背景
海马和杏仁核亚区的自动分割可以提高轻度认知障碍（MCI）和阿尔茨海默病（AD）个体的分类准确性。
方法
我们在 3T MRI 上对 21 名 AD、39 名 MCI 和 32 名正常对照（NC）参与者进行了 T1 加权磁共振成像（MRI）检查。使用 FreeSurfer 6.0 分析每个半球的 12 个海马亚区和 9 个杏仁核亚区。
结果
与 MCI 和 NC 组相比，AD 组右侧/左侧全海马、右侧/左侧海马尾部、右侧/左侧下托、右侧 CA1、右侧分子层、右侧颗粒细胞-分子层-齿状回（GC-ML-DG）、右侧 CA4、右侧穹窿、右侧全杏仁核、右侧/左侧附属基底核、右侧前杏仁核区、左侧中央核、左侧内侧核和右侧/左侧皮质核的体积较小（p<0.001）。NC 组右侧前下托、右侧 CA3、右侧海马-杏仁核过渡区（HATA）、右侧外侧、右侧基底核、右侧中央核、右侧内侧核、右侧皮质-杏仁核过渡区（CAT）和右侧旁层核的体积明显大于 AD 组（p≤0.001），而 NC 组右侧下托、右侧 CA1、右侧分子层、右侧全海马、右侧全杏仁核、右侧基底核和右侧附属基底核的体积明显大于 MCI 组（p≤0.002）。趋势分析表明，随着认知功能的下降，大多数海马和杏仁核亚区都有萎缩的趋势。通过层次聚类分析确定了 6 个核心成分。联合接受者操作特征（ROC）分析在区分 AD 与 MCI（AUC：0.81）、区分 MCI 与 NC（AUC：0.79）和区分 AD 与 NC（AUC：0.97）方面具有诊断性能。
结论
海马和杏仁核的体积差异在更精细的亚区尺度上，右侧基底核、左侧副下托、左侧内侧核、左侧 GC-ML-DG、左侧海马裂和右侧穹窿的体积可以作为神经影像学生物标志物，辅助 MCI 和 AD 的临床诊断。
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