Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming

@article{citeulike:677818, abstract = {This article presents results obtained from applying various tools from FSL (FMRIB Software Library) to data from the repetition priming experiment used for the HBM'05 Functional Image Analysis Contest. We present analyses from the model-based General Linear Model (GLM) tool (FEAT) and from the model-free independent component analysis tool (MELODIC). We also discuss the application of tools for the correction of image distortions prior to the statistical analysis and the utility of recent advances in functional magnetic resonance imaging (FMRI) time series modeling and inference such as the use of optimal constrained HRF basis function modeling and mixture modeling inference. The combination of hemodynamic response function (HRF) and mixture modeling, in particular, revealed that both sentence content and speaker voice priming effects occurred bilaterally along the length of the superior temporal sulcus (STS). These results suggest that both are processed in a single underlying system without any significant asymmetries for content vs. voice processing. Hum Brain Mapp, 2006. {\copyright} 2006 Wiley-Liss, Inc.}, address = {Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, Oxford, UK}, author = {Beckmann, Christian F. and Jenkinson, Mark and Woolrich, Mark W. and Behrens, Timothy E. J. and Flitney, David E. and Devlin, Joseph T. and Smith, Stephen M. }, citeulike-article-id = {677818}, doi = {10.1002/hbm.20246}, journal = {Human Brain Mapping}, keywords = {fmri, ica}, number = {5}, pages = {380--391}, posted-at = {2008-03-24 22:32:06}, priority = {3}, title = {Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming}, url = {http://dx.doi.org/10.1002/hbm.20246}, volume = {27}, year = {2006} }

TY - JOUR ID - citeulike:677818 TI - Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming JF - Human Brain Mapping VL - 27 IS - 5 SP - 380 EP - 391 AD - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, Oxford, UK N2 - This article presents results obtained from applying various tools from FSL (FMRIB Software Library) to data from the repetition priming experiment used for the HBM'05 Functional Image Analysis Contest. We present analyses from the model-based General Linear Model (GLM) tool (FEAT) and from the model-free independent component analysis tool (MELODIC). We also discuss the application of tools for the correction of image distortions prior to the statistical analysis and the utility of recent advances in functional magnetic resonance imaging (FMRI) time series modeling and inference such as the use of optimal constrained HRF basis function modeling and mixture modeling inference. The combination of hemodynamic response function (HRF) and mixture modeling, in particular, revealed that both sentence content and speaker voice priming effects occurred bilaterally along the length of the superior temporal sulcus (STS). These results suggest that both are processed in a single underlying system without any significant asymmetries for content vs. voice processing. Hum Brain Mapp, 2006. © 2006 Wiley-Liss, Inc. KW - fmri KW - ica AU - Beckmann, Christian AU - Jenkinson, Mark AU - Woolrich, Mark AU - Behrens, Timothy AU - Flitney, David AU - Devlin, Joseph AU - Smith, Stephen PY - 2006/// UR - http://dx.doi.org/10.1002/hbm.20246 ER -