Event Abstract Back to Event Whole brain recordings reveal physiologically separable endogenous oscillations in Drosophila melanogaster Angelique C. Paulk1* and Bruno Van Swinderen1 1 Queensland Brain Institute, University of Queensland, Queensland Brain Institute, Australia By virtue of their connectivity and underlying physiological properties, neural networks exhibit endogenous oscillations. Bands of endogenous oscillatory activity have been associated with attention, sensory processing, sleep, and place memory in mammals. In addition, specific brain areas produce area-specific oscillations in select frequency bands, such as the prevalence of the theta rhythm in the hippocampus or the gamma rhythm in the cortex. To explore the functional relationship between endogenous oscillations, their underlying neural circuitry, and behavior, we developed a multichannel recording preparation to use in the fly, Drosophila melanogaster (Figure 1). We recorded local field potentials (LFP) and the neural population activity (through multiunit activity) from primary visual processing centers along with central, higher order, brain regions simultaneously. We found that fly brain activity exhibited statistically separable frequency domains of endogenous activity, both in terms of LFP and spiking multiunit activity, which varied across the brain regions. When we mapped the recording sites to specific brain regions, we found central brain regions exhibited more slow-wave oscillations while the primary visual processing centers had significantly higher 15-80 Hz oscillations. To determine a functional role of these frequency bands, and their potential role in visual processing, we used flickering light stimuli and found that the brain regions had a frequency-dependent response to the flickering light. Finally, by transiently activating specific neural circuits, we found that the amplitudes of the oscillations in these frequency bands could be independently altered by increasing the activity of either excitatory or inhibitory circuits. This effect was independent of fly movements, indicating that the oscillatory activity we observe correlates with the underlying neural activity. Figure 1. Multichannel recording from a Drosophila brain can be mapped to specific brain regions. B. Recordings from different brain regions reveal endogenous oscillations which can be subdivided into frequency bands (C). Figure 1 Acknowledgements The authors would like to thank members of the van Swinderen laboratory for feedback. Funding was provided by the Queensland Brain Institute and the Australian Research Council. Keywords: central complex, local field potential, multiunit activity, optic lobe, Vision Conference: Tenth International Congress of Neuroethology, College Park. Maryland USA, United States, 5 Aug - 10 Aug, 2012. Presentation Type: Poster (but consider for Participant Symposium) Topic: Novel Tools and Methods Citation: Paulk AC and Van Swinderen B (2012). Whole brain recordings reveal physiologically separable endogenous oscillations in Drosophila melanogaster. Conference Abstract: Tenth International Congress of Neuroethology. doi: 10.3389/conf.fnbeh.2012.27.00225 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: 30 Apr 2012; Published Online: 07 Jul 2012. * Correspondence: Dr. Angelique C Paulk, Queensland Brain Institute, University of Queensland, Queensland Brain Institute, Brisbane, Australia, acpaulk13@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 Angelique C Paulk Bruno Van Swinderen Google Angelique C Paulk Bruno Van Swinderen Google Scholar Angelique C Paulk Bruno Van Swinderen PubMed Angelique C Paulk Bruno Van Swinderen 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.
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