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Download a PDF of the 2012 Annual Report - Black Dog Institute

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Research activity from <strong>2012</strong> includes:Hemodynamic travelling waves in humanvisual cortex – Functional magnetic resonanceimaging (fMRI) experiments have advancedour understanding <strong>of</strong> <strong>the</strong> structure and function<strong>of</strong> <strong>the</strong> human brain. Dynamic changes in <strong>the</strong> flowand concentration <strong>of</strong> oxygen in blood are observedexperimentally in fMRI data via <strong>the</strong> blood oxygenlevel dependent (BOLD) signal. Since neuronal activityinduces this hemodynamic response, <strong>the</strong> BOLD signalprovides a non-invasive measure <strong>of</strong> neuronal activity.Understanding <strong>the</strong> mechanisms that drive this BOLDresponse is fundamental for accurately inferring <strong>the</strong>underlying neuronal activity. The goal <strong>of</strong> this study isto systematically predict spatiotemporal hemodynamicsfrom a biophysical model, <strong>the</strong>n test <strong>the</strong>se in a highresolution fMRI study <strong>of</strong> <strong>the</strong> visual cortex. Using this<strong>the</strong>ory, we predict and empirically confirm <strong>the</strong> existence<strong>of</strong> hemodynamic waves in cortex – a striking andnovel finding.Neural mechanisms <strong>of</strong> intermuscularcoherence: Implications for <strong>the</strong> rectification <strong>of</strong>surface electromyography – This study employeda computational model to look at <strong>the</strong> role <strong>of</strong> <strong>the</strong> motorunit action potential (MAUP) on <strong>the</strong> translation <strong>of</strong>‘oscillatory activity’. (Oscillatory activity plays a crucialrole in corticospinal control <strong>of</strong> muscle synergies.) Thiswas tested and compared to test results from intermuscularcoherence between bilateral leg muscles.The model shows that <strong>the</strong> effect <strong>of</strong> electromyographyrectification depends on <strong>the</strong> uniformity <strong>of</strong> MUAPshapes. The data provided support for a heterogeneousdistribution <strong>of</strong> MUAPs which implies that <strong>the</strong>shape <strong>of</strong> MUAPs is an essential parameter to reconcileexperimental and computational approaches.BLACK DOG <strong>2012</strong>25

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