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Functional mapping of single spines in cortical neurons in vivo

Author

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  • Xiaowei Chen

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Ulrich Leischner

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Nathalie L. Rochefort

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Israel Nelken

    (Silberman Institute of Life Sciences and the Edmond and Lily Safra Center for Brain Sciences, Hebrew University, Jerusalem 91904, Israel)

  • Arthur Konnerth

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

Abstract

Mapping neural connectivity in the brain It is notoriously difficult to determine how individual neurons integrate the inputs from the many incoming dendritic signals in live animals. Arthur Konnerth and colleagues use a new variant of the two-photon imaging technique to visualize sound-evoked activity in the spines of cortical neurons at single-synapse resolution in vivo. They find that individual spines are highly tuned for specific tones and that even neighbouring spines on the same dendrite can be tuned to different frequencies. This work establishes a new method for the mapping of functionally defined single synapses in the living brain.

Suggested Citation

  • Xiaowei Chen & Ulrich Leischner & Nathalie L. Rochefort & Israel Nelken & Arthur Konnerth, 2011. "Functional mapping of single spines in cortical neurons in vivo," Nature, Nature, vol. 475(7357), pages 501-505, July.
    • Handle: RePEc:nat:nature:v:475:y:2011:i:7357:d:10.1038_nature10193
    DOI: 10.1038/nature10193
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    Cited by:

    1. Meng Wang & Ke Liu & Junxia Pan & Jialin Li & Pei Sun & Yongsheng Zhang & Longhui Li & Wenyan Guo & Qianqian Xin & Zhikai Zhao & Yurong Liu & Zhenqiao Zhou & Jing Lyu & Ting Zheng & Yunyun Han & Chunq, 2022. "Brain-wide projection reconstruction of single functionally defined neurons," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Jianian Lin & Zongyue Cheng & Guang Yang & Meng Cui, 2022. "Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Matteo Farinella & Daniel T Ruedt & Padraig Gleeson & Frederic Lanore & R Angus Silver, 2014. "Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-21, April.
    4. Daniel Bendor, 2015. "The Role of Inhibition in a Computational Model of an Auditory Cortical Neuron during the Encoding of Temporal Information," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-25, April.
    5. Michele N. Insanally & Badr F. Albanna & Jade Toth & Brian DePasquale & Saba Shokat Fadaei & Trisha Gupta & Olivia Lombardi & Kishore Kuchibhotla & Kanaka Rajan & Robert C. Froemke, 2024. "Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    6. Zhiwei Xu & Erez Geron & Luis M. Pérez-Cuesta & Yang Bai & Wen-Biao Gan, 2023. "Generalized extinction of fear memory depends on co-allocation of synaptic plasticity in dendrites," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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