利用对比变异自动编码器揭示阿尔茨海默病各阶段的神经基质

IF 2.9 2区 医学 Q2 NEUROSCIENCES
Yan Tang, Chao Yang, Yuqi Wang, Yunhao Zhang, Jiang Xin, Hao Zhang, Hua Xie
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引用次数: 0

摘要

阿尔茨海默病是最常见的重大神经认知障碍。虽然目前尚无根治方法,但了解阿尔茨海默病进展的神经生物学基础将有助于早期诊断和治疗,延缓疾病进展,改善预后。在本研究中,我们旨在通过对比变异自动编码器模型,利用认知功能正常者、轻度认知障碍患者和阿尔茨海默病患者的结构磁共振成像数据,了解阿尔茨海默病进展背后的形态学变化。我们使用对比变异自动编码器生成合成数据,以提高下游分类性能。由于对比变异自动编码器能够剔除年龄和性别等非临床因素,因此有助于对阿尔茨海默病的不同阶段进行更纯粹的比较,从而识别阿尔茨海默病发展过程中特有的病理变化。我们的研究结果表明,阿尔茨海默病各阶段的大脑形态变化与阿尔茨海默病的潜在生物标志物--神经丝蛋白轻链的浓度有显著相关性,这凸显了我们研究结果的生物学合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering neural substrates across Alzheimer's disease stages using contrastive variational autoencoder.

Alzheimer's disease is the most common major neurocognitive disorder. Although currently, no cure exists, understanding the neurobiological substrate underlying Alzheimer's disease progression will facilitate early diagnosis and treatment, slow disease progression, and improve prognosis. In this study, we aimed to understand the morphological changes underlying Alzheimer's disease progression using structural magnetic resonance imaging data from cognitively normal individuals, individuals with mild cognitive impairment, and Alzheimer's disease via a contrastive variational autoencoder model. We used contrastive variational autoencoder to generate synthetic data to boost the downstream classification performance. Due to the ability to parse out the nonclinical factors such as age and gender, contrastive variational autoencoder facilitated a purer comparison between different Alzheimer's disease stages to identify the pathological changes specific to Alzheimer's disease progression. We showed that brain morphological changes across Alzheimer's disease stages were significantly associated with individuals' neurofilament light chain concentration, a potential biomarker for Alzheimer's disease, highlighting the biological plausibility of our results.

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来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
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