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  Imaging input and output of neocortical networks in vivo

Kerr, J., Greenberg, D., & Helmchen, F. (2005). Imaging input and output of neocortical networks in vivo. Proceedings of the National Academy of Sciences of the United States of America, 102(39), 14063-14068. doi:10.1073/pnas.0506029102.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-C2E5-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-C2E6-E
Genre: Journal Article
Alternative Title : Imaging input and output of neocortical networks in vivo

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 Creators:
Kerr, Jason1, Author              
Greenberg, David1, Author              
Helmchen, Fritjof1, Author              
Affiliations:
1Department of Cell Physiology, Max Planck Institute for Medical Research, Max Planck Society, ou_1497701              

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Free keywords: bulk loading; population imaging; presynaptic; sparse coding
 Abstract: Neural activity manifests itself as complex spatiotemporal activation patterns in cell populations. Even for local neural circuits, a comprehensive description of network activity has been impossible so far. Here we demonstrate that two-photon calcium imaging of bulk-labeled tissue permits dissection of local input and output activities in rat neocortex in vivo. Besides astroglial and neuronal calcium transients, we found spontaneous calcium signals in the neuropil that were tightly correlated to the electrocorticogram. This optical encephalogram (OEG) is shown to represent bulk calcium signals in axonal structures, thus providing a measure of local input activity. Simultaneously, output activity in local neuronal populations could be derived from action potential-evoked calcium transients with single-spike resolution. By using these OEG and spike activity measures, we characterized spontaneous activity during cortical Up states. We found that (i) spiking activity is sparse (<0.1 Hz); (ii) on average, only approximately 10% of neurons are active during each Up state; (iii) this active subpopulation constantly changes with time; and (iv) spiking activity across the population is evenly distributed throughout the Up-state duration. Furthermore, the number of active neurons directly depended on the amplitude of the OEG, thus optically revealing an input-output function for the local network. We conclude that spontaneous activity in the neocortex is sparse and heterogeneously distributed in space and time across the neuronal population. The dissection of the various signal components in bulk-loaded tissue as demonstrated here will enable further studies of signal flow through cortical networks.

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Language(s): eng - English
 Dates: 2005-06-012005-07-192005-09-122005-09-27
 Publication Status: Published in print
 Pages: 6
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: National Academy of Sciences
Pages: - Volume / Issue: 102 (39) Sequence Number: - Start / End Page: 14063 - 14068 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230