Predicting the Scalp Potential Topography in the Multifocal VEP by fMRI

Abstract

Event Abstract Back to Event Predicting the Scalp Potential Topography in the Multifocal VEP by fMRI Shariful Islam1*, Torsten Wustenberg2, Michael Bach3 and Hans Strasburger1 1 Universitatsmedizin Gottingen, Department of Medical Psychology, Germany 2 University of Munich, Germany 3 Universitats-Augenklinik, Germany Visual evoked potentials from localized stimuli depend on the personal folding of the primary and secondary visual cortex. To cross-validate three non-invasive imaging approaches, we were interested to predict multifocal VEP amplitude on the scalp from retinotopic fMRI and EEG data. To obtain retinotopic information we stimulated the central visual field using three same sets of segmented checkerboard patterns (rings, wedges and segments) in both fMRI and EEG recordings. The results are used to predict evoked potentials from multifocal methods where orthogonal time-series stimulation allows decomposing the single-electrode EEG signal into components attributable to each stimulus region. A retinotopic map in areas V1 and V2 has been obtained on an inflated cortical surface generated after preprocessing of the fMRI data in Brain Voyager. We have also developed a Matlab graphical user interface (GUI) which, solving the EEG forward problem in a two-layer (cortical and scalp surface) real-head model, shows the scalp potential distribution of a certain dipole generator obtained from fMRI along with its location and orientation in the brain. For the same brain, with stimulation at specific visual-field locations we show dipoles from multi-electrode EEG obtained using sLoreta. Conference: Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, 30 Sep - 2 Oct, 2009. Presentation Type: Poster Presentation Topic: Sensory processing Citation: Islam S, Wustenberg T, Bach M and Strasburger H (2009). Predicting the Scalp Potential Topography in the Multifocal VEP by fMRI. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.145 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 Aug 2009; Published Online: 28 Aug 2009. * Correspondence: Shariful Islam, Universitatsmedizin Gottingen, Department of Medical Psychology, Göttingen, Germany, shariful@math.uni-goettingen.de 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 Shariful Islam Torsten Wustenberg Michael Bach Hans Strasburger Google Shariful Islam Torsten Wustenberg Michael Bach Hans Strasburger Google Scholar Shariful Islam Torsten Wustenberg Michael Bach Hans Strasburger PubMed Shariful Islam Torsten Wustenberg Michael Bach Hans Strasburger 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.