Obiettivo This project addresses two methodological challenges pertinent to cognitive brain imaging: Estimating the time varying neural generators of electric/magnetic field recordings on the surface of the scalp, and estimating the time varying effective connectivity between these neural generators. Recent theoretical models of perception adopt a generative approach to perception, whereby stimulus processing is controlled by top-down influences that create predictions about forthcoming events. In some cases, these top-down influences can lead to perceptual errors or inflation of affective experience. The extent and nature of these modulations, as well as their neural dynamics, are still to be determined. These mechanisms are key in a wide variety of phenomena including normal decision-making, social behaviour, and mental health. We propose to utilise the dynamics of anticipatory responses preceding a stimulus to investigate these mechanisms. We have shown that anticipatory neural processes preceding pain correlate with the intensity of the pain experience. However, the spatial distribution of these activities varies during the course of anticipation and is not precisely time locked to the anticipation cues. Current methods for source reconstruction of anticipatory responses do not take into account the dynamics of the generating networks. We propose to develop a dynamical network model that estimates the sources of the EEG and their connectivity, simultaneously. The proposed dynamical network model is capable of estimating the spatial characteristics of the EEG sources, together with their temporal and connectivity characteristics. This represents a major leap forward to understand the causal mechanisms of brain function as it gives rise to perception and a substantial contribution to tools available for source and connectivity analyses. This will benefit neuroscience researchers who wish to apply the principles involved in the source model to their own areas of research. Campo scientifico natural sciencesbiological sciencesneurobiology Programma(i) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Argomento(i) FP7-PEOPLE-2009-IEF - Marie Curie Action: "Intra-European Fellowships for Career Development" Invito a presentare proposte FP7-PEOPLE-2009-IEF Vedi altri progetti per questo bando Meccanismo di finanziamento MC-IEF - Intra-European Fellowships (IEF) Coordinatore THE UNIVERSITY OF MANCHESTER Contributo UE € 173 403,20 Indirizzo OXFORD ROAD M13 9PL Manchester Regno Unito Mostra sulla mappa Regione North West (England) Greater Manchester Manchester Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Liz Fay (Ms.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato
