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Fluorescence-Based Monitoring of In Vivo Neural Activity Using a Circuit-Tracing Pseudorabies Virus

Overview of attention for article published in PLOS ONE, September 2009
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Title
Fluorescence-Based Monitoring of In Vivo Neural Activity Using a Circuit-Tracing Pseudorabies Virus
Published in
PLOS ONE, September 2009
DOI 10.1371/journal.pone.0006923
Pubmed ID
Authors

Andrea E. Granstedt, Moriah L. Szpara, Bernd Kuhn, Samuel S. -H. Wang, Lynn W. Enquist

Abstract

The study of coordinated activity in neuronal circuits has been challenging without a method to simultaneously report activity and connectivity. Here we present the first use of pseudorabies virus (PRV), which spreads through synaptically connected neurons, to express a fluorescent calcium indicator protein and monitor neuronal activity in a living animal. Fluorescence signals were proportional to action potential number and could reliably detect single action potentials in vitro. With two-photon imaging in vivo, we observed both spontaneous and stimulated activity in neurons of infected murine peripheral autonomic submandibular ganglia (SMG). We optically recorded the SMG response in the salivary circuit to direct electrical stimulation of the presynaptic axons and to physiologically relevant sensory stimulation of the oral cavity. During a time window of 48 hours after inoculation, few spontaneous transients occurred. By 72 hours, we identified more frequent and prolonged spontaneous calcium transients, suggestive of neuronal or tissue responses to infection that influence calcium signaling. Our work establishes in vivo investigation of physiological neuronal circuit activity and subsequent effects of infection with single cell resolution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 7%
United Kingdom 4 4%
Portugal 2 2%
Germany 2 2%
France 1 <1%
Finland 1 <1%
Unknown 90 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Researcher 30 28%
Professor > Associate Professor 10 9%
Student > Master 10 9%
Student > Bachelor 6 6%
Other 15 14%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 55%
Neuroscience 10 9%
Medicine and Dentistry 6 6%
Computer Science 6 6%
Psychology 4 4%
Other 13 12%
Unknown 10 9%