Event Abstract Back to Event Applying human brain image processing methods to honeybee calcium image data Arno Klein1*, Satrajit Ghosh2, Barrett Klein3, Lisa Rath3, Giovanni Galizia3 and Christoph Kleineidam3 1 Columbia University, United States 2 MIT, United States 3 University of Konstanz, Germany Methods developed for analyzing human brain fMRI data have great potential for application to brain imaging data of different spatial and temporal scales, different imaging methods, and different species. In this work, we demonstrate a simple analysis of honeybee (Apis mellifera) brain image data using the Python programming language. To our knowledge, this is the first application of human brain imaging techniques to an invertebrate. These techniques provide advantages when analyzing intra-individual phenomena, and invertebrates such as the honeybee offer the advantage of harboring a simpler, experimentally more accessible nervous system. Data in invertebrate studies are commonly pooled across multiple specimens based on a segmentation of the neuropil of interest. For many applications, this approach is powerful because physiological measures are based on a population mean. However, traditional methods [1] are limited when insufficient neuroanatomical information prevents a reasonable segmentation. With the proposed method, no a priori segmentation is necessary and the independent intra-individual analysis is more powerful. In our study, we investigated odor information processing in the brains of honeybees while the bees were awake versus while they were asleep [2]. Using functional imaging with fluorescent dyes (calcium imaging), we measured neuronal activity during these two physiological states. We compare the power of an analysis based on the traditional approach of semi-automatic segmentation of functional units with our pixel-based analysis. The open source software will be made available through http://www.mindboggle.info, http://www.nitrc.org, and http://www.github.com. 1. Galizia CG, Szyszka P. 2008. Olfactory coding in the insect brain: molecular receptive ranges, spatial and temporal coding. Entomologia Experimentalis et Applicata. 128:81–92. 2. Kaiser W. 1988. Busy bees need rest, too: behavioural and electromyographical sleep signs in honeybees. J Comp Phys A. 163:565-584. Keywords: Neuroimaging, honeybee calcium image data, fMRI, Imaging Methods, Neuroscience Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Poster Topic: Neuroinformatics Citation: Klein A, Ghosh S, Klein B, Rath L, Galizia G and Kleineidam C (2014). Applying human brain image processing methods to honeybee calcium image data. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00046 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Arno Klein, Columbia University, New York, United States, binarybottle@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Arno Klein Satrajit Ghosh Barrett Klein Lisa Rath Giovanni Galizia Christoph Kleineidam Google Arno Klein Satrajit Ghosh Barrett Klein Lisa Rath Giovanni Galizia Christoph Kleineidam Google Scholar Arno Klein Satrajit Ghosh Barrett Klein Lisa Rath Giovanni Galizia Christoph Kleineidam PubMed Arno Klein Satrajit Ghosh Barrett Klein Lisa Rath Giovanni Galizia Christoph Kleineidam Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.