Cargando…
Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies
Genetically encoded optical indicators hold the promise of enabling non-invasive monitoring of activity in identified neurons in behaving organisms. However, the interpretation of images of brain activity produced using such sensors is not straightforward. Several recent studies of sensory coding us...
Autores principales: | , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526281/ https://www.ncbi.nlm.nih.gov/pubmed/18946545 http://dx.doi.org/10.3389/neuro.04.003.2007 |
_version_ | 1782158736849108992 |
---|---|
author | Jayaraman, Vivek Laurent, Gilles |
author_facet | Jayaraman, Vivek Laurent, Gilles |
author_sort | Jayaraman, Vivek |
collection | PubMed |
description | Genetically encoded optical indicators hold the promise of enabling non-invasive monitoring of activity in identified neurons in behaving organisms. However, the interpretation of images of brain activity produced using such sensors is not straightforward. Several recent studies of sensory coding used G-CaMP 1.3—a calcium sensor—as an indicator of neural activity; some of these studies characterized the imaged neurons as having narrow tuning curves, a conclusion not always supported by parallel electrophysiological studies. To better understand the possible cause of these conflicting results, we performed simultaneous in vivo 2-photon imaging and electrophysiological recording of G-CaMP 1.3 expressing neurons in the antennal lobe (AL) of intact fruitflies. We find that G-CaMP has a relatively high threshold, that its signal often fails to capture spiking response kinetics, and that it can miss even high instantaneous rates of activity if those are not sustained. While G-CaMP can be misleading, it is clearly useful for the identification of promising neural targets: when electrical activity is well above the sensor's detection threshold, its signal is fairly well correlated with mean firing rate and G-CaMP does not appear to alter significantly the responses of neurons that express it. The methods we present should enable any genetically encoded sensor, activator, or silencer to be evaluated in an intact neural circuit in vivo in Drosophila. |
format | Text |
id | pubmed-2526281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-25262812008-10-22 Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies Jayaraman, Vivek Laurent, Gilles Front Neural Circuits Neuroscience Genetically encoded optical indicators hold the promise of enabling non-invasive monitoring of activity in identified neurons in behaving organisms. However, the interpretation of images of brain activity produced using such sensors is not straightforward. Several recent studies of sensory coding used G-CaMP 1.3—a calcium sensor—as an indicator of neural activity; some of these studies characterized the imaged neurons as having narrow tuning curves, a conclusion not always supported by parallel electrophysiological studies. To better understand the possible cause of these conflicting results, we performed simultaneous in vivo 2-photon imaging and electrophysiological recording of G-CaMP 1.3 expressing neurons in the antennal lobe (AL) of intact fruitflies. We find that G-CaMP has a relatively high threshold, that its signal often fails to capture spiking response kinetics, and that it can miss even high instantaneous rates of activity if those are not sustained. While G-CaMP can be misleading, it is clearly useful for the identification of promising neural targets: when electrical activity is well above the sensor's detection threshold, its signal is fairly well correlated with mean firing rate and G-CaMP does not appear to alter significantly the responses of neurons that express it. The methods we present should enable any genetically encoded sensor, activator, or silencer to be evaluated in an intact neural circuit in vivo in Drosophila. Frontiers Research Foundation 2007-11-02 /pmc/articles/PMC2526281/ /pubmed/18946545 http://dx.doi.org/10.3389/neuro.04.003.2007 Text en Copyright: © 2007 Jayaraman, Laurent. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Jayaraman, Vivek Laurent, Gilles Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title | Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title_full | Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title_fullStr | Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title_full_unstemmed | Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title_short | Evaluating a Genetically Encoded Optical Sensor of Neural Activity Using Electrophysiology in Intact Adult Fruit Flies |
title_sort | evaluating a genetically encoded optical sensor of neural activity using electrophysiology in intact adult fruit flies |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526281/ https://www.ncbi.nlm.nih.gov/pubmed/18946545 http://dx.doi.org/10.3389/neuro.04.003.2007 |
work_keys_str_mv | AT jayaramanvivek evaluatingageneticallyencodedopticalsensorofneuralactivityusingelectrophysiologyinintactadultfruitflies AT laurentgilles evaluatingageneticallyencodedopticalsensorofneuralactivityusingelectrophysiologyinintactadultfruitflies |