Event Abstract Back to Event Measuring Neurovascular Coupling by Combining Electroencephalogram and Functional Transcranial Doppler: A Detailed Method Lisa Kurylowicz1*, Nicholas Badcock2, Mark Kohler1, Owen Churches3 and Hannah Keage1 1 University of South Australia, Cognitive Neuroscience Laboratory, School of Psychology, Social Work and Social Policy, Australia 2 Macquarie University, ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Australia 3 Flinders University, Brain and Cognition Laboratory, School of Psychology, Australia Neuronal function and cerebrovascular supply are usually assessed in isolation however their relationship to each other is critical for brain function. Methods that do exist are typically expensive and unsuitable for populations where the technique would be most valuable, such as the very young and very old. Two groups have previously investigated the relationship between neural function and cerebrovascular supply by pairing electroencephalogram (EEG) and functional transcranial doppler (fTCD). EEG measures neural function via the recording of electrical activity at the scalp, while fTCD uses ultrasound to record blood flow velocity in major cerebral arteries. We furthered previously published methods by improving the data recordings between equipment, data processing methods and the incorporation of active as well as passive visual cognitive tasks. Visual evoked potentials were recorded from the occipital lobe and cerebral blood flow velocity was recorded from the posterior cerebral artery using fTCD while participants completed a passive checkerboard task, along with visual half-field tasks identifying either, tools or symmetrical shapes. We will discuss the design of tasks, particularly given known differences in neural and hemodynamic responses to cognitive operations. Further, we will show how blood flow velocity and event-related potential (ERP; calculated from averaging EEG data) data are correlated and how the degree of correlation changes relative to ERP component and the segment of hemodynamic response (e.g. gain). This combined EEG-fTCD technique - which is non-invasive, not costly and suitable for most populations - stands to make valuable contributions to the understanding of neurovascular coupling in health and disease. Keywords: ERP, Electroencephalogram, hemodynamic response, fTCD, visual half-field, Cerebral blood flow velocity, functional transcranial Doppler, event related potential components Conference: XII International Conference on Cognitive Neuroscience (ICON-XII), Brisbane, Queensland, Australia, 27 Jul - 31 Jul, 2014. Presentation Type: Poster Topic: Methods Development Citation: Kurylowicz L, Badcock N, Kohler M, Churches O and Keage H (2015). Measuring Neurovascular Coupling by Combining Electroencephalogram and Functional Transcranial Doppler: A Detailed Method. Conference Abstract: XII International Conference on Cognitive Neuroscience (ICON-XII). doi: 10.3389/conf.fnhum.2015.217.00305 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: 19 Feb 2015; Published Online: 24 Apr 2015. * Correspondence: Miss. Lisa Kurylowicz, University of South Australia, Cognitive Neuroscience Laboratory, School of Psychology, Social Work and Social Policy, Adelaide, Australia, lisa.kurylowicz@unisa.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 Lisa Kurylowicz Nicholas Badcock Mark Kohler Owen Churches Hannah Keage Google Lisa Kurylowicz Nicholas Badcock Mark Kohler Owen Churches Hannah Keage Google Scholar Lisa Kurylowicz Nicholas Badcock Mark Kohler Owen Churches Hannah Keage PubMed Lisa Kurylowicz Nicholas Badcock Mark Kohler Owen Churches Hannah Keage 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.