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Abstract:
Our presentation will be divided into two parts. Klaus Scheffler will give an overview on current possibilities and application of functional brain imaging on humans at 9.4T. He will focus on challenges in RF technology and will present novel MRI approaches to study brain activity based on balanced steady states. Furthermore, we will report on our novel integrated micro coils that are designed to assess very rapid changes in the local MR signal.
In a second part, Gabriele Lohmann will present a new data analysis algorithm that is designed to identify time series of voxels in an fMRI image that collectively synchronize in response to a task.
At the heart of this approach is the concept of spatially localized and task-induced edge density
motivating us to call this algorithm "TED" (Task-induced Edge Density). We show first results of TED applied to fMRI data acquired at 9.4 Tesla which revealed widespread task-related brain activation that evaded detection using traditional approaches.
