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Updated: Jul 2, 2025

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Strategies for Assessing Autistic-Like Behaviors in Mice
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在过去十年中,对自闭症谱系障碍信号通路研究进行了图书统计分析
Kaifeng Lyu1, Jiangshan Li2, Min Chen3
1Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, China.
Frontiers in psychiatry
|February 27, 2024
概括
这项文献计量研究绘制了自闭症谱系障碍 (ASD) 信号通路研究的地图,确定了关键贡献者和趋势. 未来的工作应该探索遗传学,肠道微生物群和ASD中的压力.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 发展生物学 发展生物学
背景情况:
- 自闭症谱系障碍 (ASD) 信号通路研究是一个不断发展的领域.
- 了解这项研究的基本结构对于推进该领域至关重要.
研究的目的:
- 综合分析自闭症谱系障碍 (ASD) 信号通路的研究格局.
- 确定关键国家,机构,期刊,作者和关键词在ASD信号通路研究.
- 绘制自闭症信号通路研究的演变和当前趋势的地图.
主要方法:
- 从WoScc数据库中对2013年至2023年间发表的1396篇文章进行了图书统计分析.
- 使用CiteSpace和VosViewer进行视觉分析和网络构建.
- 检查了包括国家,机构,期刊,作者和关键词在内的关键指标.
主要成果:
- 关于ASD信号通路的出版量稳步增加.
- 美国,中国和德国在这个研究领域是领先的国家.
- 主要机构包括加利福尼亚大学系统,埃里克·克兰是著名的作家. "分子自闭症"是主要的期刊. 研究主题包括"提高神经元β-catenin水平"",Fmr1淘汰赛 (KO) 老鼠"",de novo突变"和"神经元迁移".
结论:
- 图书统计分析提供了ASD信号通路研究的全面概述,重点关注分子机制,动物模型和神经系统.
- 未来的研究应该优先考虑基因,神经发育障碍,肠道微生物群,压力,母体免疫激活以及记忆和学习等认知功能.
- 这些未来的方向预计将为ASD干预和治疗提供新的见解.
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