Event Abstract Back to Event The Berger effect revised: is there indeed a structural change in the M/EEG dynamics in the transition between eyes open and eyes closed resting states? Avgis Hadjipapas1* and Erik Casagrande2 1 Donders Institute for Brain, Cognition and Behaviour, Netherlands 2 Aston University, Neural Computing Research Group, United Kingdom Eyes open and eyes closed resting states have for nearly a century now provided the prototypical contrast of rhythmic and non-rhythmic brain activity. Such phenomena have subsequently been typically quantified as band-limited power changes in multiple frequency bands and have been termed event related synchronization and desynchronization respectively, hence implicitly assuming that changes in functional topology -such as different strengths of synchronization occurring at different frequencies- of the local microscopic network underlie the observed changes in power. Although, changes in the underlying network synchronization do provide a relatively plausible explanation of the observed phenomenology -the changes in bandlimited power-, so far there was no conclusive evidence in this respect. Direct testing of a (de)synchronization hypothesis in this context becomes prohibitive due to the sheer number of required single neuron recordings. In addition extracting indirect information about synchronization in the underlying network from the macroscopic signals was not possible so far. This is because power increases in integral signals such as the M/EEG are ambiguous and can for instance be due both to an increasing number of contributing sources and an increase in coupling in the underlying network -giving rise to different synchronous patterns-. Hence, it is crucial to assess changes in local coupling in the network independent of the SNR of the macroscopic signal. Here we present a dynamical systems approach that can be applied to directly test whether the transition from rhythmic to non-rhythmic activity does in fact reflect a change in local coupling of the underlying network. The approach rests on a single assumption, namely that the coupling in the underlying network is local, so that increasing the coupling strength would favor global patterns of synchrony -resulting in a low dimensional state-, whereas low coupling would favor multiple synchronous local clusters -high dimensional state-. We employ singular spectrum decomposition to estimate the dimension of the time series derived from source reconstructed MEG data from the visual cortex of two healthy volunteers during eyes open and eyes closed resting states. We present various strategies to remove the effects of the inherently different SNR during the two states from the estimation of dimension. Preliminary results converge towards a genuine decrease in dimension at the transition from the eyes open to the eyes closed state. This change in estimated dimension signifies a structural change in the dynamics that are likely to arise from a change in functional network topology -a change from a more locally clustered toward a more globally synchronized network-. The results are discussed in the context of recent functional interpretations of alpha rhythms in relation to cortical gain. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: MEG Modeling Citation: Hadjipapas A and Casagrande E (2010). The Berger effect revised: is there indeed a structural change in the M/EEG dynamics in the transition between eyes open and eyes closed resting states?. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00079 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 Mar 2010; Published Online: 22 Mar 2010. * Correspondence: Avgis Hadjipapas, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands, avgis.hadjipapas@donders.ru.nl 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 Avgis Hadjipapas Erik Casagrande Google Avgis Hadjipapas Erik Casagrande Google Scholar Avgis Hadjipapas Erik Casagrande PubMed Avgis Hadjipapas Erik Casagrande 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.