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Large-Scale Neurocognitive Networks
The overall goal of this project is to understand the functional and structural architecture of human cognitive networks. We use intrinsic functional and structural connectivity measures as well as graph theoretical approaches to investigate how neurocognitive networks are organized and how these networks emerge with development, learning and brain maturation.
EEG and fMRI
Understanding the neural basis of human brain function requires knowledge about the spatial and temporal aspects of information processing. Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent complementary brain imaging techniques in terms of their spatial and temporal resolution in the examination of sensory and cognitive processes underlying brain function. We are currently focusing on the technical aspects of acquisition, validation and analysis of simultaneous fMRI and EEG recordings.
The overall goal of this project is to understand the principles governing distributed brain function using a nonlinear dynamics framework and large-scale network modeling.