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Preprocessing: resting-state data

 OperationInput formatSoftwareOutput formatComment / Link
1Maxfilter.fifmaxfilter.fif maxfilter
2Mark bad data segments.fifMuse.fifReview data with Muse
3Use ICA to remove blinks and cardiac activity.fifMatlab (FieldTrip).fif

Use ICA to subtract blink and cardiac activity.

4Data import in Brainstorm.fifBrainstormBrainstormWe use a single step of this tutorial. We import the cleaned data from previous step. Do not ignore epochs of different length.
5Compute noise covarianceBrainstormBrainstormBrainstormCompute noise covariance in Brainstorm. Note that we use a resting-state segment (and not an empty room recording). This is ok and is because we are interested in source activity deviating from rest, rather than just any brain activity.

Preprocessing: task data

 OperationInput formatSoftwareOutput formatComment / Link
1Maxfilter.fifmaxfilter.fif maxfilter
2Data import in Brainstorm.fifBrainstormBrainstorm

We use a single step of this tutorial. We import the cleaned data from previous step. Do not ignore epochs of different length.

Reading events channel, time period: 0-48000 ms

If necessary, delete the second epoch of each kind.

3Mark the onset of each movementBrainstormBrainstormBrainstorm

This part is undocumented so far. Please add!

Source estimation

 OperationInput formatSoftwareOutput formatComment / Link
1MRI segmentatoindicomfreesurferfreesurferBrainstorm tutorial
2Import anatomyfreesurverBrainstormBrainstormBrainstorm tutorial
3Create a head modelBrainstormBrainstormBrainstormBrainstorm tutorial. Right click subject, compute head model.
4Source estimation (wMNE)BrainstormBrainstormBrainstormBrainstorm tutorial

Measures

 OperationInput formatSoftwareOutput formatComment / Link
1 Finding the premotor peaksBrainstormBrainstormBrainstormThis part is undocumented so far. Please add!

Statistics

 OperationInput formatSoftwareOutput formatComment / Link
1 ANOVA on peak positionsTable (xls)RstudioHTML pageRunning a repeated measures ANOVA on the distances between peaks. Interest in interaction effect between within & between factors. Typical script: to be linked
2     

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