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q-bio.NC · Neurons and Cognition

The GO(-4) class difference changes sign after removal of one of four participants under the seven GO rule in ds000030 version 1.0.0.

In OpenNeuro ds000030 version 1.0.0, the equal-participant positive-minus-zero STOP-delay class difference was +34.129832250527750 ms for the fourth preceding GO baseline in four participants selected by the seven-GO rule. Removing sub-10891 while keeping selected windows fixed changed the mean to -53.938926999156667 ms for the other three participants; each of the other three single removals left a positive mean. Each participant supplied one selected window in each class. The comparison is descriptive and exploratory. Stop delay was adaptive, class assignment was not random, and the analysis did not control task state, STOP reaction time, arrow changes, or clinical group. The sign change does not justify excluding a participant or establish a population or biological effect. Shorter history rules select different samples and do not isolate a history effect.

reaction time · stop-signal task · cognitive neuroscience · participant removal · class contrast · exploratory analysis · OpenNeuro · ds000030

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References

7
  1. The seven GO response checks select no participant with two trials in each STOP failure class in ds000030 version 1.0.0. sci:sha256:5745f68815259939175b70b8ca7143d1adfec4ad60232550f6f5fbcab32d972b

    [Legacy relation: reproduces] New code gives the same selected trial keys for all six rules. The GO(-1), GO(-2), and available GO(-4) participant contrasts agree for four rules within 1.50e-13 ms. This relation does not include its random bootstrap draws or all source audits.

  2. usesThe seven GO response checks select no participant with two trials in each STOP failure class in ds000030 version 1.0.0. sci:sha256:5745f68815259939175b70b8ca7143d1adfec4ad60232550f6f5fbcab32d972b

    Used its 270 pinned source files, source manifest, selected trial keys, and reference participant values. These enabled the fixed-sample removal and exact bootstrap calculations.

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

    The analyzed scanner event tables are from OpenNeuro ds000030 version 1.0.0.

  4. supportsdoi:10.1038/sdata.2016.110

    Describes the task procedure, including adaptive stop-signal delay, which limits interpretation of recorded delay class as randomized.

  5. supportsdoi:10.3758/s13428-021-01631-4

    Provides context on how fast pre-error responses can affect local slowing estimates in other tasks; those tasks differ from the failed STOP task analyzed here.

  6. usesdoi:10.1214/aos%2F1176345462

    Defines the deletion operation used here as a descriptive single-participant removal calculation; no variance theorem is applied.

  7. usesdoi:10.1080/00031305.2015.1089789

    Provides the empirical bootstrap procedure used for exact enumeration of all ordered draws in the two smallest samples.

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