连接独特的基底外侧杏仁核细胞类型的脑网络

IF 2.9 Q2 NEUROSCIENCES
Houri Hintiryan, Hong-wei Dong
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引用次数: 2

摘要

通过网络在结构上相互连接的不同大脑区域调节行为输出。因此,了解大脑在健康和疾病中的功能组织需要一个网络组织的基础解剖路线图。为了向研究界提供这一点,我们的实验室系统地追踪了小鼠大脑中的数千条通路,并应用计算方法确定了主要大脑系统的网络结构。为此,最近产生了基底外侧杏仁核复合体(BLA)的全脑网络。数据揭示了同一BLA核内独特连接的细胞类型,这些细胞类型是不同神经网络的组成部分。在这里,我们详细阐述了这些连接独特的BLA细胞类型如何适应我们团队之前描述的更大的皮质基底神经节和边缘网络。还讨论了高质量、详细的解剖数据的重要性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Networks of Connectionally Unique Basolateral Amygdala Cell Types
Different brain regions structurally interconnected through networks regulate behavior output. Therefore, understanding the functional organization of the brain in health and disease necessitates a foundational anatomic roadmap to its network organization. To provide this to the research community, our lab has systematically traced thousands of pathways in the mouse brain and has applied computational measures to determine the network architecture of major brain systems. Toward this effort, the brain-wide networks of the basolateral amygdalar complex (BLA) were recently generated. The data revealed uniquely connected cell types within the same BLA nucleus that were constituents of distinct neural networks. Here, we elaborate on how these connectionally unique BLA cell types fit within the larger cortico-basal ganglia and limbic networks that were previously described by our team. The significance and utility of high quality, detailed anatomic data is also discussed.
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来源期刊
Neuroscience Insights
Neuroscience Insights Neuroscience-Neuroscience (all)
CiteScore
6.10
自引率
0.00%
发文量
24
审稿时长
9 weeks
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