Event Abstract Back to Event GLM-analysis of oscillatory activity reveals neural network correlates of visuomotor tracking accuracy Jan-Mathijs Schoffelen1*, Alfons Schnitzler2 and Joachim Gross3 1 Centre for cognitive Neuroimaging, United Kingdom 2 University Hospital, Department of Neurology, Germany 3 University of Glasgow, Germany There is increasing supportive evidence for neuronal oscillatory activity to be instrumental for behaviourally relevant information processing and transfer within the brain. To date, most non-invasively obtained evidence for this comes from studies using experimental paradigms which allow for correlating neuronal activity either with reaction times, or with perception of stimuli presented at threshold. Here, we present data from an experiment which allowed us to correlate ongoing neuronal oscillations with the accuracy of visuomotor behaviour. Eight subjects performed a visuomotor tracking task. They had to track the movement of a sinusoidally moving visual target with the right index finger. We recorded magnetoencephalograms (MEG) and position information of the moving finger, and we estimated with beamformers the oscillatory activity of the underlying neuronal sources. We quantified an error signal, by estimating the difference between the instantaneous amplitude of the movement signal and the target signal. For each frequency bin we fitted a general linear model (GLM) to the voxel time courses, using the target and error signals as regressors. T maps were created for the contrast between target and error signal, and for the error signal against zero. Group statistics were done using a non-parametric permutation test. In the contrast we found alpha-band activity fluctuations in occipital regions to be significantly better predicted by the target signal, while the error signal predicted alpha band activity in fronto parietal regions. As such, fronto parietal regions, cingulate regions and cerebellum were involved in tracking/adjusting task performance. The spectral signature of this involvement was distinct for the regions involved. These results indicate that fluctuations in a behavioural parameter during visuomotor tracking are reflected by modulations in neural oscillatory activity, spatially confined mainly to brain regions relevant for the task. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Sensory Processing and Functional Connectivity Citation: Schoffelen J, Schnitzler A and Gross J (2010). GLM-analysis of oscillatory activity reveals neural network correlates of visuomotor tracking accuracy. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00182 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: 29 Mar 2010; Published Online: 29 Mar 2010. * Correspondence: Jan-Mathijs Schoffelen, Centre for cognitive Neuroimaging, Glasgow, United Kingdom, j.schoffelen@psy.gla.ac.uk 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 Jan-Mathijs Schoffelen Alfons Schnitzler Joachim Gross Google Jan-Mathijs Schoffelen Alfons Schnitzler Joachim Gross Google Scholar Jan-Mathijs Schoffelen Alfons Schnitzler Joachim Gross PubMed Jan-Mathijs Schoffelen Alfons Schnitzler Joachim Gross 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.