psych-214-fall-2016 / project-blue

Psych 214 | Fall 2016 | project-blue
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Update wrapper #49

Closed jdtheiss closed 7 years ago

jdtheiss commented 7 years ago

Here is the wrapper to run the analysis. It gets the nifti and event files from the data_dir and the participants.tsv and task-visualimageryfalsememory.json files from the params_dir. Then it runs the first glm for correct > incorrect on second run to create the mask. The mask is then used when the second glm is run for false alarm > correct rejection. Then the t values from the mask are averaged to give one t value per subject. These t values are then correlated with the LSHS and PDI scores.

One major annoyance is that the motion correction takes forever and doesn't even appear necessary since no rotations or translations are needed.

jdtheiss commented 7 years ago

Ok, thanks. I've removed the second output from slice_timing_corr.

jdtheiss commented 7 years ago

Removed unrelated commits from this pull request.

codecov-io commented 7 years ago

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joewiner commented 7 years ago

Thanks for making the change. I think this looks solid. I will leave the issue open regarding a test for the wrapper, but since none of us have come up with any ideas for this yet I think it may continue to linger, unfortunately. I'll keep brainstorming!