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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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