Event Abstract Back to Event Assessment of Connectivity in Neuronal Cultures by Recording from Axonal Arbors Stefan Huber1*, Torsten Bullmann1, Kosmas Deligkaris1, Andreas Hierlemann2 and Urs Frey1 1 RIKEN , Quantitative Biology Center, Germany 2 ETH Zurich, Department of Biosystems Science and Engineering, Switzerland Motivation A key problem in neuroscience is to understand the relationship between structure and function. Here, we present a novel method that estimates the morphological connectivity and compares it to a measure of functional connectivity. Material and Methods Dissociated neurons from E16-18 rat neocortex were cultured at low density on high-density microelectrode arrays (HDMEAs, Frey et al., 2010). After identification of axon initial segments, network activity was recorded, and action potentials were tracked along full axonal arbors of single neurons at subcellular resolution. Morphological connectivity was estimated according to Peter's rule from the overlap of axonal and dendritic fields, using parameters for the dendritic field diameter and the minimum overlap area ratio. Functional connectivity was assumed, when the ISI histograms showed a clear peak (z-score>25) as compared to randomized surrogate data. Results We developed a python library (PyTau) with fast implementation of procedures to calculate and visualize morphological and functional connectivity in neuronal networks based on HDMEA recordings. Furthermore, we observed a high correlation of inferred delay values between neurons. Discussion Since in this study only 25 neurons and their respective axonal arbors were analyzed, there remain many neurons in the recorded network unknown. Newer generations of HDMEAs with a larger number of parallel readout channels will make it possible to essentially record from all neurons so that the whole neuronal network can be assessed. Conclusion Although preliminary results were obtained on a small network with many hidden units, our method can easily be scaled to handle large datasets, which enables a comprehensive analysis of neuronal cultures including morphology, connectivity and activity. We have applied this method to study the effects of temperature on sleep and memory in vitro (Bullmann et al., 2016). References Bullmann, T. et al. 2016. 10th international Meeting on Substrate-integrated Microelectrode Arrays, Reutlingen, Germany. Frey, U. et al. 2010. IEEE Journal of Solid-State Circuits 45(2): 467–482. Figure 1 Inferred morphological connectivity. Axonal delay map (colorcoded green-yellow) and dendritic fields with r=100μm around the axon initial segment (grey circles, left panel) are used to infer connectivity. When their overlap exceeded 5%, a connection with axonal delay τAxon was assigned (right panel). Figure 1 Keywords: connectivity, axonal arbors, Peter's rule, spike time lag Conference: MEA Meeting 2016 | 10th International Meeting on Substrate-Integrated Electrode Arrays, Reutlingen, Germany, 28 Jun - 1 Jul, 2016. Presentation Type: Poster Presentation Topic: MEA Meeting 2016 Citation: Huber S, Bullmann T, Deligkaris K, Hierlemann A and Frey U (2016). Assessment of Connectivity in Neuronal Cultures by Recording from Axonal Arbors. Front. Neurosci. Conference Abstract: MEA Meeting 2016 | 10th International Meeting on Substrate-Integrated Electrode Arrays. doi: 10.3389/conf.fnins.2016.93.00077 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: 22 Jun 2016; Published Online: 24 Jun 2016. * Correspondence: Dr. Stefan Huber, RIKEN, Quantitative Biology Center, Kobe, Germany, stefanhuber1993@googlemail.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 Stefan Huber Torsten Bullmann Kosmas Deligkaris Andreas Hierlemann Urs Frey Google Stefan Huber Torsten Bullmann Kosmas Deligkaris Andreas Hierlemann Urs Frey Google Scholar Stefan Huber Torsten Bullmann Kosmas Deligkaris Andreas Hierlemann Urs Frey PubMed Stefan Huber Torsten Bullmann Kosmas Deligkaris Andreas Hierlemann Urs Frey 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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