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通过潜在空间估计与痴呆症相关的性别拓扑结构

IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2024-11-12 DOI:10.1002/alz.14266
Selena Wang, Yiting Wang, Frederick H. Xu, Xinyuan Tian, Carolyn A. Fredericks, Li Shen, Yize Zhao
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引用次数: 0

摘要

我们采用最新的潜在空间估计技术，研究了与典型阿尔茨海默病（AD）痴呆症相关的性别拓扑结构。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Sex-specific topological structure associated with dementia via latent space estimation
We investigate sex-specific topological structures associated with typical Alzheimer's disease (AD) dementia using a novel state-of-the-art latent space estimation technique.
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍： ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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