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Qualitatively we find similarities between packages, backed up by Neurosynth association analyses that correlate similar words and phrases to all three software package's unthresholded results for each of the studies we reanalyse. We make quantitative and qualitative comparisons between our replications to gauge the scale of variability in our results and assess the fundamental differences between each software package.
#SCANNER SOMBRE FALSE COLOR HOW TO#
We obtain all information on how to process, analyse, and model each dataset from the publications. We use publicly shared data from three published task fMRI neuroimaging studies, reanalyzing each study using the three main neuroimaging software packages, AFNI, FSL, and SPM, using parametric and nonparametric inference. In this work, our goal is to understand how choice of software package impacts on analysis results. Consequently, attention in the field has recently been directed to reproducibility and data sharing. Differences in methods, implementations across software, and even operating systems or software versions all contribute to this variability.
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While conceptually similar, two different analysis pipelines applied on the same dataset may not produce the same scientific results. However, this “methodological plurality” comes with a drawback. Bland–Altman Percent BOLD ComparisonsĪ wealth of analysis tools are available to fMRI researchers in order to extract patterns of task variation and, ultimately, understand cognitive function. ds000120 Inter‐Software Comparison, Euler Characteristic and Cluster Count Curves for F‐Statistic Mapsįigure S13. ds120 Inter‐Software Comparison, F‐Statistic Mapsįigure S12. ds000109 Inter‐Software Comparison, T‐Statistic Maps from Permutationįigure S11. ds000109 Inter‐Software Comparison, T‐Statistic Mapsįigure S10. ds000001 Inter‐Software Comparison, T‐Statistic Maps from Permutationįigure S9. ds000001 Inter‐Software Comparison, T‐Statistic Mapsįigure S8. ds000120 Inter‐Software Comparison, 5% FWE Clusterwise Inferenceįigure S7. ds000109 Inter‐Software Comparison, 5% FWE Clusterwise Permutation Inferenceįigure S6. ds000109 Inter‐Software Comparison, 5% FWE Clusterwise Inferenceįigure S5. ds000001 Inter‐Software Comparison, 5% FWE Clusterwise Permutation Inferenceįigure S4. ds000001 Inter‐Software Comparison, 5% FWE Clusterwise Inferenceįigure S3.
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#SCANNER SOMBRE FALSE COLOR REGISTRATION#
Figure S1 Registration QC: Mean and standard deviation of anatomical and mean functional imagesįigure S2.