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TitleNetwork analysis of mesoscale optical recordings to assess regional, functional connectivity.
Publication TypeJournal Article
Year of Publication2015
AuthorsLim, Diana H., Jeffrey M. LeDue, and Timothy H. Murphy
Date Published2015 Oct

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.

Alternate JournalNeurophotonics
PubMed ID26158019
PubMed Central IDPMC4478876