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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