利用基于离体 MRI 和组织学的计算图谱来描绘衰老和阿尔茨海默病患者的人类海马体。
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.
机构信息
Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104;
出版信息
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4252-4257. doi: 10.1073/pnas.1801093115. Epub 2018 Mar 28.
Although the hippocampus is one of the most studied structures in the human brain, limited quantitative data exist on its 3D organization, anatomical variability, and effects of disease on its subregions. Histological studies provide restricted reference information due to their 2D nature. In this paper, high-resolution (∼200 × 200 × 200 μm) ex vivo MRI scans of 31 human hippocampal specimens are combined using a groupwise diffeomorphic registration approach into a 3D probabilistic atlas that captures average anatomy and anatomic variability of hippocampal subfields. Serial histological imaging in 9 of the 31 specimens was used to label hippocampal subfields in the atlas based on cytoarchitecture. Specimens were obtained from autopsies in patients with a clinical diagnosis of Alzheimer's disease (AD; 9 subjects, 13 hemispheres), of other dementia (nine subjects, nine hemispheres), and in subjects without dementia (seven subjects, nine hemispheres), and morphometric analysis was performed in atlas space to measure effects of age and AD on hippocampal subfields. Disproportional involvement of the cornu ammonis (CA) 1 subfield and stratum radiatum lacunosum moleculare was found in AD, with lesser involvement of the dentate gyrus and CA2/3 subfields. An association with age was found for the dentate gyrus and, to a lesser extent, for CA1. Three-dimensional patterns of variability and disease and aging effects discovered via the ex vivo hippocampus atlas provide information highly relevant to the active field of in vivo hippocampal subfield imaging.
尽管海马体是人类大脑中研究最多的结构之一,但关于其 3D 结构、解剖变异性以及疾病对其亚区的影响,仅有有限的定量数据。由于其二维性质,组织学研究提供了有限的参考信息。在本文中,通过使用分组变形配准方法将 31 个人类海马体标本的高分辨率(约 200×200×200μm)离体 MRI 扫描组合成一个 3D 概率图谱,该图谱捕获了海马体亚区的平均解剖结构和解剖变异性。在 31 个标本中的 9 个中进行了连续的组织学成像,以便根据细胞构筑在图谱中标记出海马体亚区。标本取自临床诊断为阿尔茨海默病(AD;9 例,13 个半球)、其他痴呆症(9 例,9 个半球)和无痴呆症的受试者(7 例,9 个半球)的尸检,在图谱空间中进行形态测量分析以测量年龄和 AD 对海马体亚区的影响。在 AD 中发现了 CA1 亚区和放射层分子层空泡状的不成比例参与,齿状回和 CA2/3 亚区的参与较少。在齿状回中发现了与年龄相关的关联,在 CA1 中则较少。通过离体海马体图谱发现的变异性和疾病以及老化效应的 3D 模式提供了与体内海马体亚区成像的活跃领域高度相关的信息。