Single-cell reconstruction of whole-brain efferent projections from mouse ventral posteromedial thalamus.

IF 8.3 Q1 Computer Science
Heng-Zheng Wei, Yi-Yao Li, Hong-Yi Jia, Tian-Yu Zhao, Xiao Ren, Xin-Tong Qiu, Fu-Xing Zhang, Yun-Qing Li, Ming-Ming Zhang
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引用次数: 0

Abstract

The ventral posteromedial thalamic nucleus (VPM) relays orofacial somatosensory signals to the primary somatosensory cortex (SSp), yet its functional heterogeneity remains poorly defined at single-cell resolution. We combined fluorescence micro-optical sectioning tomography (fMOST) with single-neuron whole-brain reconstruction to map projections of vesicular glutamate transporter 2-positive (VGluT2⁺) excitatory neurons in the ventrolateral subdivision of VPM (vlVPM). Using 88 high-quality neurons with validated completeness, we identified pronounced structural heterogeneity and classified two clusters with distinct axonal profiles. Notably, we report two key findings that challenge the classical view: vlVPM neurons preferentially target superficial SSp layers (L1-3) rather than layer 4 (L4), and a multi-target subpopulation simultaneously innervates the motor cortex and basal ganglia via collaterals, establishing direct anatomical links to motor regulatory networks. These anatomical findings demonstrate that vlVPM establishes diverse projection pathways beyond canonical sensory relays, enabling direct structural crosstalk between sensory and motor circuits. This work provides a single-cell resolution framework for interpreting the anatomical basis of thalamic involvement in sensorimotor coordination.

小鼠腹侧后内侧丘脑全脑传出投射的单细胞重建。
腹侧丘脑后内侧核(VPM)将口面体感信号传递给初级体感皮层(SSp),但其功能异质性在单细胞分辨率上仍未明确。我们将荧光显微光学断层扫描(fMOST)和单神经元全脑重建相结合,绘制了VPM腹外侧分支中泡状谷氨酸转运蛋白2阳性(VGluT2 +)兴奋性神经元的投影。使用88个高质量的完整神经元,我们发现了明显的结构异质性,并将两个具有不同轴突轮廓的集群分类。值得注意的是,我们报告了两个挑战经典观点的关键发现:vlVPM神经元优先靶向浅表SSp层(L1-3)而不是第4层(L4),多靶点亚群同时通过侧枝支配运动皮层和基底神经节,建立了与运动调节网络的直接解剖学联系。这些解剖结果表明,vlVPM在规范的感觉继电器之外建立了多种投射通路,使感觉和运动电路之间能够直接进行结构串扰。这项工作为解释丘脑参与感觉运动协调的解剖学基础提供了一个单细胞分辨率框架。
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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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