Analysis code to accompany Whole-Brain Auditory Mapping paper
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x.tedana_extReg_Audio.sh: Script to create the required inputs and run tedana with automatic classification using external regressors
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demo_external_regressors_motion_task_models.json: Tedana automatic classification decision tree (included as part of tedana v24.0.2)
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x.RUN_GLM and x.RUN_GLM_PrecisionMapping: Example scripts to run the functions below.
Note: x.RUN_GLM is a simplified script used for Session 1 data and x.RUN_GLM_PrecisionMapping can be used for data collected in the precision mapping session (Session 2)
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x.PreProc_RejectedICA_edit.sh: Function to prepare the rejected ICA components considering task-correlation and with orthogonalization
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x.GLM_REML_ICA_{X}runs.sh: Function to run subject-level GLM including motion, motion derivatives, CO2, task regressor, and rejected ICA components for X concatenated runs
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x.GLM_SE_{X}runs.sh: Function to run subject-level GLM including motion, motion derivatives, CO2, and task regressor for X concatenated runs
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Whole-Brain Analysis
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x.3dMEMA_1samp.sh: Example script to perform group-level modeling for whole-brain analysis
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x.Cluster.sh: Example script to perform cluster-level inference testing
Region-Specific Analysis
- x.RegionSpecific_Analysis.sh: Example script to perform group-level modeling for region-specific analysis
- x.PrecisionMapping_Analyses.sh: Example script to run to perform whole-brain and region-specific analysis on precision mapping data
- Whole-Brain Analysis: Uses x.Subject_SigActivation.sh script to find voxels of significant positive activation with False Discovery Rate (FDR) correction
- Region-Specific Analysis: Uses DO_TopPer option to find voxels above a specified threshold (e.g. top 5% voxels) based on t-statistic value