Event Abstract Back to Event On the impact of oscillatory synchrony on directed functional connectivity metrics: a network-model-based study Agostina Palmigiano1, 2*, Demian Battaglia1, 2, Annette Witt1, 2, 3 and Theo Geisel1, 2 1 Max Planck Intitute for Dynamics and Self-Organization, Non linear Dynamics, Germany 2 Bernstein Center for Computational Neuroscience, Germany 3 German Primate Center, Germany Perception, cognition and behavior require flexible communication and coordination between brain circuits. Experimental and theoretical evidence (Womelsdorf et al. 2007; Battaglia et al., 2012) show that phase locking between the oscillatory activity of different brain areas or local circuits may underlie the self-organized instantiation of effective communication channels. From a data analysis perspective, causal influences between different neuronal populations are often inferred from time series of neural activity obtained through electrophysiological recordings or imaging techniques using methods like Granger Causality or Transfer Entropy. However, the depiction of inter-areal interactions provided by such indirect "black-box" approaches is difficult to interpret, because the underlying network dynamics associated to the recorded signals is known only partially or is completely hidden. Furthermore different metrics are not guaranteed but in special conditions to infer matching causal connectivities (aka directed functional connectivities). We consider here the dynamics of a toy system of two coupled (unidirectionally or bidirectionally) neural populations, described as large networks of spiking excitatory and inhibitory neurons with realistic heterogeneous parameters. By varying systematically the degree of synchronization of the resulting network activity and the strength of inter-population coupling, we explore the performance in different dynamical regimes of different causality metrics in inferring the underlying inter-population coupling from semi-realistic synthetic spike trains, LFPs and other imaging signals with different spatial and temporal resolutions. More specifically, we identify under which conditions linear techniques fail in providing a correct inference of the ongoing population interaction and we comment on possible practical strategies to overcome their limitations. Acknowledgements This project is supported by the grant BMBF Grant 01GQ1005B (BCCN Goettingen) References [1] Womelsdorf T et al (2007) Science 316: 1609-1612. [2] Buehlmann A, Deco G (2010) PLoS Comp Biol 6. [3] Battaglia D, Witt A, Wolf F, Geisel T (2012) PLoS Comp Biol (in press). [4] Barnett L, Barrett AB, Seth AK (2009) Phys Rev Lett 103:238701. Keywords: causality, functional connectivity, network oscillations, synchronization Conference: Bernstein Conference 2012, Munich, Germany, 12 Sep - 14 Sep, 2012. Presentation Type: Poster Topic: Other Citation: Palmigiano A, Battaglia D, Witt A and Geisel T (2012). On the impact of oscillatory synchrony on directed functional connectivity metrics: a network-model-based study. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. doi: 10.3389/conf.fncom.2012.55.00175 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: 18 Sep 2012; Published Online: 12 Sep 2012. * Correspondence: Miss. Agostina Palmigiano, Max Planck Intitute for Dynamics and Self-Organization, Non linear Dynamics, Goettingen, 37077, Germany, apalmigiano@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 Agostina Palmigiano Demian Battaglia Annette Witt Theo Geisel Google Agostina Palmigiano Demian Battaglia Annette Witt Theo Geisel Google Scholar Agostina Palmigiano Demian Battaglia Annette Witt Theo Geisel PubMed Agostina Palmigiano Demian Battaglia Annette Witt Theo Geisel 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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