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

被引:1
|
作者
Xu, Jingjing [1 ]
Tan, Sijia [1 ]
Wen, Jiaqi [1 ]
Zhang, Minming [1 ]
Xu, Xiaojun [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Radiol, 88 Jiefang Rd, Hangzhou 310009, Peoples R China
基金
中国国家自然科学基金;
关键词
Alzheimer's disease; disease progression; event-based model; hippocampus; MILD COGNITIVE IMPAIRMENT; NEURODEGENERATION EVENTS; VOLUME LOSS; MRI; SEGMENTATION; MODEL; VIVO; AGE;
D O I
10.1111/ejn.16543
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:6091 / 6106
页数:16
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