A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.

Voltage-sensitive dye imaging (VSDI) can simultaneously monitor the spatiotemporal electrical dynamics of thousands of neurons and is often used to identify functional differences in models of neurological disease. While the chief advantage of VSDI is the ability to record spatiotemporal activity, t...

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Main Authors: Elliot B Bourgeois, Brian N Johnson, Almedia J McCoy, Lorenzo Trippa, Akiva S Cohen, Eric D Marsh
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4178182?pdf=render
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spelling doaj-fce538ad369e4de2b3ff99d8ee0039932020-11-25T01:52:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10868610.1371/journal.pone.0108686A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.Elliot B BourgeoisBrian N JohnsonAlmedia J McCoyLorenzo TrippaAkiva S CohenEric D MarshVoltage-sensitive dye imaging (VSDI) can simultaneously monitor the spatiotemporal electrical dynamics of thousands of neurons and is often used to identify functional differences in models of neurological disease. While the chief advantage of VSDI is the ability to record spatiotemporal activity, there are no tools available to visualize and statistically compare activity across the full spatiotemporal range of the VSDI dataset. Investigators commonly analyze only a subset of the data, and a majority of the dataset is routinely excluded from analysis. We have developed a software toolbox that simplifies visual inspection of VSDI data, and permits unaided statistical comparison across spatial and temporal dimensions. First, the three-dimensional VSDI dataset (x,y,time) is geometrically transformed into a two-dimensional spatiotemporal map of activity. Second, statistical comparison between groups is performed using a non-parametric permutation test. The result is a 2D map of all significant differences in both space and time. Here, we used the toolbox to identify functional differences in activity in VSDI data from acute hippocampal slices obtained from epileptic Arx conditional knock-out and control mice. Maps of spatiotemporal activity were produced and analyzed to identify differences in the activity evoked by stimulation of each of two axonal inputs to the hippocampus: the perforant pathway and the temporoammonic pathway. In mutant hippocampal slices, the toolbox identified a widespread decrease in spatiotemporal activity evoked by the temporoammonic pathway. No significant differences were observed in the activity evoked by the perforant pathway. The VSDI toolbox permitted us to visualize and statistically compare activity across the spatiotemporal scope of the VSDI dataset. Sampling error was minimized because the representation of the data is standardized by the toolbox. Statistical comparisons were conducted quickly, across the spatiotemporal scope of the data, without a priori knowledge of the character of the responses or the likely differences between them.http://europepmc.org/articles/PMC4178182?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Elliot B Bourgeois
Brian N Johnson
Almedia J McCoy
Lorenzo Trippa
Akiva S Cohen
Eric D Marsh
spellingShingle Elliot B Bourgeois
Brian N Johnson
Almedia J McCoy
Lorenzo Trippa
Akiva S Cohen
Eric D Marsh
A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
PLoS ONE
author_facet Elliot B Bourgeois
Brian N Johnson
Almedia J McCoy
Lorenzo Trippa
Akiva S Cohen
Eric D Marsh
author_sort Elliot B Bourgeois
title A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
title_short A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
title_full A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
title_fullStr A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
title_full_unstemmed A toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
title_sort toolbox for spatiotemporal analysis of voltage-sensitive dye imaging data in brain slices.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Voltage-sensitive dye imaging (VSDI) can simultaneously monitor the spatiotemporal electrical dynamics of thousands of neurons and is often used to identify functional differences in models of neurological disease. While the chief advantage of VSDI is the ability to record spatiotemporal activity, there are no tools available to visualize and statistically compare activity across the full spatiotemporal range of the VSDI dataset. Investigators commonly analyze only a subset of the data, and a majority of the dataset is routinely excluded from analysis. We have developed a software toolbox that simplifies visual inspection of VSDI data, and permits unaided statistical comparison across spatial and temporal dimensions. First, the three-dimensional VSDI dataset (x,y,time) is geometrically transformed into a two-dimensional spatiotemporal map of activity. Second, statistical comparison between groups is performed using a non-parametric permutation test. The result is a 2D map of all significant differences in both space and time. Here, we used the toolbox to identify functional differences in activity in VSDI data from acute hippocampal slices obtained from epileptic Arx conditional knock-out and control mice. Maps of spatiotemporal activity were produced and analyzed to identify differences in the activity evoked by stimulation of each of two axonal inputs to the hippocampus: the perforant pathway and the temporoammonic pathway. In mutant hippocampal slices, the toolbox identified a widespread decrease in spatiotemporal activity evoked by the temporoammonic pathway. No significant differences were observed in the activity evoked by the perforant pathway. The VSDI toolbox permitted us to visualize and statistically compare activity across the spatiotemporal scope of the VSDI dataset. Sampling error was minimized because the representation of the data is standardized by the toolbox. Statistical comparisons were conducted quickly, across the spatiotemporal scope of the data, without a priori knowledge of the character of the responses or the likely differences between them.
url http://europepmc.org/articles/PMC4178182?pdf=render
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