Event Abstract Back to Event Variability in resting state EEG and task switching performance Patrick Cooper1, Chris Brown1, Anna Tuyl1, Ross Fulham2, Pat Michie1 and Frini Karayanidis1* 1 University of Newcastle, School of Psychology, Australia 2 Centre for Translational Neuroscience and Mental Health, University of Newcastle, Australia The importance of studying the role of functional connectivity of large scale neural networks on task performance is increasingly being recognised. Electroencephalogram (EEG) can be used to quantify the synchronisation of neural populations that make up such large scale networks. For example, during resting EEG, alpha (8-12Hz) and theta (4-7.5Hz) band activity are emerging as indexes of functional connectivity, with stronger alpha and lower theta power indicating increased neural synchronisation across the cortex. Increased neural synchronisation is likely to be a marker of more efficient functional connectivity. Hence, higher order cognitive processes that require efficient integration of information are likely to be performed faster and/or more accurately by individuals with stronger resting state synchronisation across networks. Cognitive flexibility, i.e., the ability to flexibly adapt behaviour to meet changing goals, is a cognitive control process that requires information integration across networks. In this study, we investigate the relationship between functional connectivity and cognitive flexibility. We measure alpha and theta power during eyes-closed resting state EEG before, during and after performance of a cognitively demanding task switching paradigm. We examined whether variability in alpha and theta power measures was related to variability in switching efficiency in a group of 20 young adults. Early findings suggest that individual variability in functional connectivity is related to variability in cognitive control efficiency. These differences may reflect variability in information processing within frontal processing networks. Keywords: resting state EEG, cognitive control, task switching, ERP/EEG, cognitive flexibility Conference: ACNS-2012 Australasian Cognitive Neuroscience Conference, Brisbane, Australia, 29 Nov - 2 Dec, 2012. Presentation Type: Poster Presentation Topic: Executive Processes Citation: Cooper P, Brown C, Tuyl A, Fulham R, Michie P and Karayanidis F (2012). Variability in resting state EEG and task switching performance. Conference Abstract: ACNS-2012 Australasian Cognitive Neuroscience Conference. doi: 10.3389/conf.fnhum.2012.208.00028 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: 25 Oct 2012; Published Online: 07 Nov 2012. * Correspondence: Prof. Frini Karayanidis, University of Newcastle, School of Psychology, Callaghan, NSW 2308, Australia, frini.karayanidis@newcastle.edu.au 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 Patrick Cooper Chris Brown Anna Tuyl Ross Fulham Pat Michie Frini Karayanidis Google Patrick Cooper Chris Brown Anna Tuyl Ross Fulham Pat Michie Frini Karayanidis Google Scholar Patrick Cooper Chris Brown Anna Tuyl Ross Fulham Pat Michie Frini Karayanidis PubMed Patrick Cooper Chris Brown Anna Tuyl Ross Fulham Pat Michie Frini Karayanidis 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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