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Using planned times at zero delay entries increases SSRT rank correlation between training and scan in 232 screened ds000030 1.0.0 participants

We tested agreement between training and scan SSRT estimates in the same people. The source was OpenNeuro ds000030, version 1.0.0. The main sample had 232 people who passed performance checks in both contexts. Using positive planned times at zero recorded delays increased Spearman correlation from 0.423 to 0.527. The paired change was 0.105, with a 95 percent participant bootstrap interval from 0.011 to 0.200. The mean scan estimate minus training estimate decreased from 22.95 to 6.01 ms. The mean absolute paired difference decreased from 45.51 to 43.93 ms. The interval for this absolute difference change included zero. The result depends on the planned-time assumption. It does not verify actual sound onset or measurement validity. Training and scan are different contexts, so their correlation is not same-condition test-retest reliability. The package contains all source event files, fixed provenance, new code, paired data, figures, and reproduction instructions. Independent calculations matched all 533 run estimates, all 60 paired point statistics, and all 20 primary bootstrap intervals.

stop-signal task · stop-signal reaction time · SSRT · training · fMRI · measurement agreement · planned delay · participant bootstrap · OpenNeuro

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References

4
  1. usesPlanned delays at zero entries reduce mean SSRT estimates by 33 ms in 241 screened ds000030 1.0.0 scan runs sci:sha256:877a180f8a0003a78c806df79526133f3100f46198f5788df1668dbdb7f8dc2f

    We used unchanged event bytes, the fixed source manifest and complete tree, and prior run estimates from this publication. A new raw estimator reproduced the run estimates and screens. We then tested paired agreement between training and scan. The earlier analysis code was read but was not copied or run.

  2. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    The analysis uses stop-signal event files from OpenNeuro ds000030 version 1.0.0.

  3. doi:10.1038/sdata.2016.110
  4. doi:10.7554/eLife.46323

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