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• W2313893105 abstract "Event Abstract Back to Event Inferring non-linear causality with an application to the steady-state response from MEG Vasily Vakorin1*, Bernhard Ross1 and Anthony R. McIntosh1 1 Rotman Research Institute of Baycrest, Canada This study examined the possibility to infer causality between brain activity at sources reconstructed from human magnetoencephalographic (MEG) data. Specifically, a nonlinear Granger causality test based on an information-theoretic approach has been used to identify the propagation of somatosensory and auditory steady-state responses in reaction to vibro-tactile stimulation of a finger and passive listening to amplitude modulated sound, respectively. The test is based on a decomposition of the transfer information in terms of conditional and marginal entropies. The entropies were estimated through calculating corresponding correlation integrals within the framework of chaos theory. The transfer information was averaged over a selected range of the time lag, which is used to specify the future time course of signals. The procedure allowed us to eliminate false causalities resulted from interactions between sources of interest with noise. Volumetric maps of brain activation were calculated using approximate entropy as a measure of signal complexity, interpreted in terms of conditional probability that two time series similar for some points will remain similar at the next point. The techniques for inferring causality and complexity were tested on generated data using linear and non-linear models. Our simulations showed that in general there was no one-to-one mapping between the causality and complexity measures. The methods for inferring causality and complexity have been applied to MEG source activity reconstructed with synthetic aperture magnetometry (SAM) and the following conclusions were made. First, the causality analysis confirmed that the neural generators driving all other sources were located in primary somatosensory area (SI) for the task of vibro-tactile stimulation and in auditory cortices for the passive listening task. Moreover, the generators were estimated to have the highest regularity (inverse complexity) value. The causality analysis performed using the generators as the reference sources revealed approximately the same activation map as specified by the complexity analysis. In contrast to the simulations, the estimate of causality between two activated sources was found to be determined by the difference in regularity between the two sources. In other words, the propagation of the steady-state response was characterized by a decrease in regularity of the MEG signal, with the directionality of coupling from sources with higher regularity to those with lower regularity. Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Poster Presentation Topic: Electrophysiology Citation: Vakorin V, Ross B and McIntosh AR (2008). Inferring non-linear causality with an application to the steady-state response from MEG. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.103 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: 28 Jul 2008; Published Online: 28 Jul 2008. * Correspondence: Vasily Vakorin, Rotman Research Institute of Baycrest, Toronto, Canada, vasenka@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 Vasily Vakorin Bernhard Ross Anthony R McIntosh Google Vasily Vakorin Bernhard Ross Anthony R McIntosh Google Scholar Vasily Vakorin Bernhard Ross Anthony R McIntosh PubMed Vasily Vakorin Bernhard Ross Anthony R McIntosh 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." @default.
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• W2313893105 title "Inferring non-linear causality with an application to the steady-state response from MEG" @default.
• W2313893105 doi "https://doi.org/10.3389/conf.neuro.11.2008.01.103" @default.
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