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A repository for all the code relating to the pilot data analysis for the ABCD reanalysis grant.

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mckenziephagen/ABCD_Stop_Signal

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Analysis code used for "A cautionary note on stop-signal data from the Adolescent Brain Cognitive Development [ABCD] study" (Bissett, Hagen, Jones and Poldrack, 2020)

concat_SST.ipynb takes in raw E-Prime SST data downloaded from the ABCD Data Repository using nda-tools python package, and creates one large data file of all downloaded participants (raw_concat_{date}.csv).

clean_SST.ipynb further culls these to participants having 360 SST trials present and writes this dataframe to SST_concat_8464_all_rows_all_columns_switched_{date}.csv. It also creates several additional columns that contain information of interest, like correct_go_response, which records whether or not the recorded go response was correct.

SST_problems.ipynb walks through each issue identified in Bissett, Hagen, Jones and Poldrack 2020, and generates the figures in the manuscript.

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A repository for all the code relating to the pilot data analysis for the ABCD reanalysis grant.

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