Mapping the Function of Whole‐Brain Projection at the Single Neuron Level
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.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Mapping the Function of Whole‐Brain Projection at the Single Neuron Level ; day:13 ; month:10 ; year:2022 ; extent:12
Advanced science ; (13.10.2022) (gesamt 12)
- Urheber
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Zhou, Wei
Ke, Shanshan
Li, Wenwei
Yuan, Jing
Li, Xiangning
Jin, Rui
Jia, Xueyan
Jiang, Tao
Dai, Zimin
He, Guannan
Fang, Zhiwei
Shi, Liang
Zhang, Qi
Gong, Hui
Luo, Qingming
Sun, Wenzhi
Li, Anan
Li, Pengcheng
- DOI
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10.1002/advs.202202553
- URN
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urn:nbn:de:101:1-2022101415052804056918
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:35 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhou, Wei
- Ke, Shanshan
- Li, Wenwei
- Yuan, Jing
- Li, Xiangning
- Jin, Rui
- Jia, Xueyan
- Jiang, Tao
- Dai, Zimin
- He, Guannan
- Fang, Zhiwei
- Shi, Liang
- Zhang, Qi
- Gong, Hui
- Luo, Qingming
- Sun, Wenzhi
- Li, Anan
- Li, Pengcheng
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