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Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA

This analysis code is shared alongside the manuscript found here: https://doi.org/10.1162/imag_a_00057

Relevant data files can be found on OpenNeuro: https://doi.org/10.18112/openneuro.ds004662.v1.1.0

Code

MRI pre-processing and registration

All anatomical and functional MRI pre-processing and registration scripts can be found at https://github.com/BrightLab-ANVIL/PreProc_BRAIN

Detailed information on tedana and multi-echo fMRI analysis can be found at https://tedana.readthedocs.io

Motion analysis

MotionCalc.m: Calculation of Framewise Displacement (FD) and task-correlation of motion

Subject-level fMRI analysis

x.GLM_REML_ICA.sh: Subject-level modeling for ME-ICA models

x.GLM_REML.sh: Subject-level modeling for SE and ME-OC models

x.Denoised.sh: Calculation of DVARS and creation of grayplots from denoised datasets

x.ROIstats.sh: ROI analysis

SpCorr.R: Spatial correlation analysis

Group-level fMRI analysis

x.GLM_Group.sh: Group-level modeling

x.ROIstats_Group.sh: Group-level ROI analysis

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Analysis code to accompany Motor-task ME-ICA paper

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