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Abstract #2981

Disentangling physiological and task related information in fast multiband data using temporal ICA

Klaudius Kalcher 1,2 , Roland Boubela 1,2 , Christian Nasel 3 , and Ewald Moser 1,2

1 MR Center of Excellence, Medical University of Vienna, Vienna, Austria, 2 Department for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 3 Department of Radiology, State Clinical Center Danube District, Tulln, Lower Austria, Austria

Functional MRI at 3 T has become a workhorse for the neurosciences, e.g., neurology, psychology, and psychiatry, enabling non-invasive investigation of brain function and connectivity. However, BOLD-based fMRI is a rather indirect measure of brain function, confounded by fluctuation related signals, e.g. head or brain motion, brain pulsation, blood flow, intermixed with susceptibility differences close or distant to the region of neuronal activity. Here we explore recent technical and methodological advancements aimed at disentangling these various components, employing fast multiband sequences to critically sample them and temporal ICA to separate these different signal sources from the measured data.

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