Meeting Banner
Abstract #2087

Regression of Physiological Signals Using Phase-Constrained Inverse Imaging in Functional MRI

Rasim Boyacioglu1, Markus Barth1

1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands

Phase-constrained inverse imaging (pcInI) combines inverse imaging (InI) and phase-constrained reconstruction. Performance of pcInI is assessed with a moving dots functional paradigm. A phase regressor is obtained for each coil channel and used as confound regressors in the analysis (either individually or after averaging). On group average, cluster size and maximum z-scores increase 52% and 10% (average regressor) and 534% and 36% (individual regressors) with respect to the case with no regressors.

Abstract PDF Poster PDF

Keywords

assess blue brain carried channel chosen cluster cognition coil collapsed collected comparing conditions constrain contrasts course covers curve ding dividing dominant dots dynamic either elements enable every explains extreme false fidelity forward framework full functional germ head improving individual institute inverse location magnitude many maps match mate matrix merged model moving nary note paradigm parallel poor principal principles prior prob reconstruction reduces reformulated regionally regressors regularization relation replaced respect scanner scheme score screen series side sides slice spatial station steps subjects twice unknowns visible whole wing