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全脑投射的单个神经元水平的功能映射。

Mapping the Function of Whole-Brain Projection at the Single Neuron Level.

机构信息

Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.

Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215100, China.

出版信息

Adv Sci (Weinh). 2022 Nov;9(33):e2202553. doi: 10.1002/advs.202202553. Epub 2022 Oct 13.

Abstract

Axonal projection conveys neural information. The divergent and diverse projections of individual neurons imply the complexity of information flow. It is necessary to investigate the relationship between the projection and functional information at the single neuron level for understanding the rules of neural circuit assembly, but a gap remains due to a lack of methods to map the function to whole-brain projection. Here an approach is developed to bridge two-photon calcium imaging in vivo with high-resolution whole-brain imaging based on sparse labeling with the genetically encoded calcium indicator GCaMP6. Reliable whole-brain projections are captured by the high-definition fluorescent micro-optical sectioning tomography (HD-fMOST). A cross-modality cell matching is performed and the functional annotation of whole-brain projection at the single-neuron level (FAWPS) is obtained. Applying it to the layer 2/3 (L2/3) neurons in mouse visual cortex, the relationship is investigated between functional preferences and axonal projection features. The functional preference of projection motifs and the correlation between axonal length in MOs and neuronal orientation selectivity, suggest that projection motif-defined neurons form a functionally specific information flow, and the projection strength in specific targets relates to the information clarity. This pipeline provides a new way to understand the principle of neuronal information transmission.

摘要

轴突投射传递神经信息。单个神经元的发散和多样化的投射意味着信息流的复杂性。为了理解神经回路组装的规则,有必要在单个神经元水平上研究投射和功能信息之间的关系,但由于缺乏将功能映射到全脑投射的方法,因此存在差距。这里开发了一种方法,将体内双光子钙成像与基于遗传编码钙指示剂 GCaMP6 的稀疏标记的高分辨率全脑成像相结合。通过高清晰度荧光微光学切片断层扫描 (HD-fMOST) 捕获可靠的全脑投射。进行跨模态细胞匹配,并获得全脑投射的功能注释在单细胞水平(FAWPS)。将其应用于小鼠视觉皮层的第 2/3 层 (L2/3) 神经元,研究了功能偏好和轴突投射特征之间的关系。投射模式的功能偏好以及 MO 中的轴突长度与神经元方向选择性之间的相关性表明,投射模式定义的神经元形成了具有特定功能的信息流,并且特定目标中的投射强度与信息清晰度有关。该流水线提供了一种理解神经元信息传递原理的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9287/9685445/c90ddf55e989/ADVS-9-2202553-g003.jpg

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本文引用的文献

1
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2
Single-neuron projectome of mouse prefrontal cortex.
Nat Neurosci. 2022 Apr;25(4):515-529. doi: 10.1038/s41593-022-01041-5. Epub 2022 Mar 31.
3
Brain-wide projection reconstruction of single functionally defined neurons.
Nat Commun. 2022 Mar 22;13(1):1531. doi: 10.1038/s41467-022-29229-0.
4
Morphological diversity of single neurons in molecularly defined cell types.
Nature. 2021 Oct;598(7879):174-181. doi: 10.1038/s41586-021-03941-1. Epub 2021 Oct 6.
5
Cellular anatomy of the mouse primary motor cortex.
Nature. 2021 Oct;598(7879):159-166. doi: 10.1038/s41586-021-03970-w. Epub 2021 Oct 6.
6
High-definition imaging using line-illumination modulation microscopy.
Nat Methods. 2021 Mar;18(3):309-315. doi: 10.1038/s41592-021-01074-x. Epub 2021 Mar 1.
8
Survey of spiking in the mouse visual system reveals functional hierarchy.
Nature. 2021 Apr;592(7852):86-92. doi: 10.1038/s41586-020-03171-x. Epub 2021 Jan 20.
9
Cortical response selectivity derives from strength in numbers of synapses.
Nature. 2021 Feb;590(7844):111-114. doi: 10.1038/s41586-020-03044-3. Epub 2020 Dec 16.
10
GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population.
Neuroinformatics. 2021 Apr;19(2):305-317. doi: 10.1007/s12021-020-09484-6.

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