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Abstract #1616

Model-Free fMRI Group Analysis using FENICA

Veronika Schpf1,2, Christian Windischberger1,2, Simon Robinson1,3, Christian Kasess1,4, Florian Ph. S. Fischmeister1,5, Rupert Lanzenberger4, Jessica Albrecht6, Anna M. Kleemann6, Rainer Kopietz6, Martin Wiesmann6,7, Ewald Moser1,2

1MR Centre of Excellence, Medical University Vienna, Vienna, Austria; 2Center of Medical Physics & Biomedical Engineering, Medical University Vienna, Vienna, Austria; 3Department of Radiology, Division of Neuroradiology, Medical University Vienna, Vienna, Austria; 4Division of Biological Psychiatry, Department of Psychiatry & Psychotherapy, Medical University Vi, Vienna, Austria; 5Faculty of Psychology, University of Vienna, Vienna, Austria; 6Department of Neuroradiology, Ludwig-Maximilians-University, Munich, Germany; 7Department of Neuroradiology, Technical University Aachen RWTH, Aachen, Germany

In this study we were able to show that the new ICA method FENICA reliably identifies activation in a wide variety of paradigms and stimuli types. Activation maps are in excellent agreement with those established in previous, model-based analyses. FENICA has the potential to become a valuable