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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.

Original publication

DOI

10.1002/hbm.20246

Type

Conference paper

Publication Date

05/2006

Volume

27

Pages

380 - 391

Keywords

Brain Mapping, Cerebrovascular Circulation, Computer Simulation, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Language Tests, Magnetic Resonance Imaging, Signal Processing, Computer-Assisted, Software, Software Validation, Speech Perception, Temporal Lobe, Verbal Behavior