| Applying FSL to the FIAC data: model-based and model-free analysis of voice and sentence repetition priming (2008) | |||||||||||||||
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| This paper 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 FMRI time series modelling and inference such as the use of optimal constrained HRF basis function modelling and mixture modelling inference. The combination of HRF and mixture modeling, in particular, revealed that both sentence content and speaker voice priming effects occurred bilaterally along the length of the STS. These results suggest that both are processed in a single underlying system without any significant asymmetries for content vs. voice processing. 1 | |||||||||||||||
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