MULTNEURIMAGNETWORK · Multimodal fMRI/EEG/MEG study of large-scale functional integration
6РП — Действия „Мария Кюри“
- Период
- 2006-01-10 → 2008-01-09
- Финансиране от ЕС
- 158 479 €
- Участници
- 1
- Схема
- SCF
Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.
Накратко на български
Мрежите от връзки в мозъка се анализират чрез математически модели, за да се разбере как информацията тече при учене или вземане на решения. Това помага да се обясни връзката между биологичните процеси в мозъка и основните когнитивни функции.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Final Activity Report Summary - MULTNEURIMAGNETWORK (Multimodal fMRI/EEG/MEG study of large-scale functional integration)
Until recently, the mapping of human brain function consisted of identifying brain regions that were associated with the treatment of a cognitive task. Over the past two decades, this was the (very productive) primary preoccupation of the neuroimaging research community. Pioneering the discipline, the group of Pr. K. J. Friston made a significant effort to extend the standard paradigm to a more mechanistic view of brain processes. In this view, brain function emerges from the flow of information among brain areas. Accordingly, novel mathematical models of and associated statistical techniques are required to characterising the quantity and the nature of this information, given neuroimaging measurements of brain activity. During the two years of the Marie-Curie fellowship, significant advances in modelling have been achieved. Specifically, we have proposed a number of neurobiologically realistic dynamic causal models of neuroimaging data. Based on these models, we have developed probabilistic data analysis methods that aim at identifying the structure of brain networks engaged in the treatment of any specific cognitive task. We have now started to apply these techniques to a series of neuroscientific investigations of human perception, learning and decision making. Preliminary results indicate a tight relationship between quick modifications of the large-scale network connectivity (short-term cerebral plasticity) and learning. A deeper understanding of this relationship has disclosed new modelling avenues, potentially bridging the gap between neurobiological brain processes and basic cognitive functions.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Any cognitive function is associated with a brain process that can be investigated by studying the neural networks recruited. These networks are characterized spatially and temporally using complementary neuroimaging measures, namely functional Magnetic Re sonance Imaging (fMRI), Electroencephalography (EEG) and Magnetoencephalography (MEG). However, the full and dynamical quantification of brain processes still requires a common and biologically plausible model to explain both the hemodynamic and electromag netic responses. Moreover, conjoint analyses need to be developed in order to identify the modelled dynamical systems and to perform statistical inference on the brain processes of interest. This constitutes an outstanding and multidisciplinary challenge f or the whole neuroscience and neuroimaging community. My project is to conceive and provide a novel cross-modal framework for assessing large-scale functional integration (functional brain connectivity). This includes - providing a common generative model of fMRI and EEG/MEG signals; - developing methods for the identification of this dynamical causal model and the conjoint analysis of multimodal data; - evaluating those approaches in the context of numerical and real experiments; - disseminating the method s and results by means of international publications and the release of validated routines. I will rely upon my previous experience in Bayesian inference and data fusion. I also expect to benefit from the rich interdisciplinary environment of the Functiona l Imaging Laboratory (FIL) and the associated Institute of Cognitive Neuroscience (ICN) in London. This project should have a profound impact on the characterization of brain dynamics, especially for a better understanding of context-dependent strategies l eading to preferential recruitment of particular neural networks. This is crucial for investigating brain plasticity, with consequences to both cognitive research and clinical applications.
Оригинален текст от CORDIS (на английски).
Участници
- INSTITUTE OF NEUROLOGY, UNIVERSITY COLLEGE LONDON · LONDONКоординаторНиво градОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз