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阿尔茨海默病中海马亚区萎缩和不对称的进展。

Progression of hippocampal subfield atrophy and asymmetry in Alzheimer's disease.

机构信息

Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine. No.88 Jiefang Road, Hangzhou, China.

出版信息

Eur J Neurosci. 2024 Oct;60(8):6091-6106. doi: 10.1111/ejn.16543. Epub 2024 Sep 22.

DOI:10.1111/ejn.16543
PMID:39308012
Abstract

Alzheimer's disease (AD) affects the hippocampus during its progression, but the specific observable changes of hippocampal subfields during disease progression remain poorly understood. In this study, we employed an event-based model (EBM) to determine the sequence of occurrence of hippocampal subfield atrophy in mild cognitive impairment (MCI) and AD cohorts. Subjects (207) were included: 86 MCI, 53 AD, and 68 healthy controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants underwent structural magnetic resonance imaging (MRI) scans to analyse the hippocampal subfields. We assigned each patient to a specific EBM stage, based on the number of their abnormal subfields. A combination of 2-year follow-up MRI scans were applied to demonstrate the longitudinal consistency and utility of the model's staging system. The model estimated that the earliest atrophy occurs in the hippocampal fissure, then spreading to other subregions in both MCI and AD. We identified a marked divergence between the sequences of left and right hippocampal subfields atrophy, so inter-hemispheric asymmetry pattern was further analysed. The sequence of asymmetry index (AI) increases beginning in the molecular and granule cell layers of the dentate gyrus (GC-ML-DG), cornus ammonis (CA) 4, and the molecular layer (ML). Longitudinal analysis confirms the efficacy of the model. In addition, the model stages were significantly correlated with patients' memory scores (p < .05). Collectively, we used a data-driven method to provide new insight into AD hippocampal progression. The present model could aid in understanding of the disease stages, as well as tracking memory decline.

摘要

阿尔茨海默病(AD)在其进展过程中会影响海马体,但疾病进展过程中海马亚区的具体可观察变化仍知之甚少。在这项研究中,我们采用基于事件的模型(EBM)来确定轻度认知障碍(MCI)和 AD 队列中海马亚区萎缩的发生顺序。研究对象包括 207 名受试者:86 名 MCI、53 名 AD 和 68 名来自阿尔茨海默病神经影像学倡议(ADNI)的健康对照者。参与者接受了结构磁共振成像(MRI)扫描,以分析海马亚区。我们根据异常亚区的数量将每个患者分配到特定的 EBM 阶段。我们应用了 2 年的随访 MRI 扫描来证明模型分期系统的纵向一致性和实用性。该模型估计最早的萎缩发生在海马裂,然后在 MCI 和 AD 中扩散到其他亚区。我们发现左、右海马亚区萎缩的顺序存在明显差异,因此进一步分析了半球间不对称模式。不对称指数(AI)的增加顺序首先从齿状回的分子和颗粒细胞层(GC-ML-DG)、角回(CA)4 和分子层(ML)开始。纵向分析证实了该模型的有效性。此外,该模型的阶段与患者的记忆评分显著相关(p <.05)。总之,我们使用数据驱动的方法提供了对 AD 海马体进展的新见解。该模型可以帮助理解疾病阶段以及跟踪记忆衰退。

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