Abstract #4136
uNBIASED - A fully automated model-free fMRI analysis method based on response reproducibility
Pedro Cardoso 1 , Florian Fischmeister 1,2 , Alexander Geissler 1,2 , Moritz Wurnig 1,2 , Siegfried Trattnig 1 , Roland Beisteiner 1,2 , and Simon Daniel Robinson 1
1
Department of Biomedical Imaging and
Image-guided Therapy, Medical University of Vienna,
Vienna, Austria,
2
Department
of Neurology, Medical University of Vienna, Vienna,
Austria
FMRI is increasingly being used in presurgical planning
in patients with brain tumors and epilepsy to facilitate
resection of affected tissue without harming essential
function. In clinical populations, the HRF may be
modified in regions of pathology. Being model-free,
reproducible and able to automatically identify and
remove unreliable runs from the analysis, uNBIASED may
aid identifying neuronal activation when poor
performance or artifact contamination is present, or the
response does not agree with the prediction due to
compromised performance or modified hemodynamic
coupling.
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