Network analysis of mesoscale optical recordings to assess regional, functional connectivity

Diana H. Lim; Jeffrey M. LeDue; Timothy H. Murphy

doi:10.1117/1.NPh.2.4.041405

22 June 2015 Network analysis of mesoscale optical recordings to assess regional, functional connectivity

Diana H. Lim, Jeffrey M. LeDue, Timothy H. Murphy

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Neurophotonics, Vol. 2, Issue 4, 041405 (June 2015). https://doi.org/10.1117/1.NPh.2.4.041405

Abstract

With modern optical imaging methods, it is possible to map structural and functional connectivity. Optical imaging studies that aim to describe large-scale neural connectivity often need to handle large and complex datasets. In order to interpret these datasets, new methods for analyzing structural and functional connectivity are being developed. Recently, network analysis, based on graph theory, has been used to describe and quantify brain connectivity in both experimental and clinical studies. We outline how to apply regional, functional network analysis to mesoscale optical imaging using voltage-sensitive-dye imaging and channelrhodopsin-2 stimulation in a mouse model. We include links to sample datasets and an analysis script. The analyses we employ can be applied to other types of fluorescence wide-field imaging, including genetically encoded calcium indicators, to assess network properties. We discuss the benefits and limitations of using network analysis for interpreting optical imaging data and define network properties that may be used to compare across preparations or other manipulations such as animal models of disease.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Diana H. Lim, Jeffrey M. LeDue, and Timothy H. Murphy "Network analysis of mesoscale optical recordings to assess regional, functional connectivity," Neurophotonics 2(4), 041405 (22 June 2015). https://doi.org/10.1117/1.NPh.2.4.041405

Published: 22 June 2015

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