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The third GO contrast is 15.92 ms with arrow pattern adjustment in 125 ds000030 control runs.

In 125 control participants from OpenNeuro ds000030, the third GO reaction-time contrast after STOP was 15.918993 ms after adjustment for four two-transition arrow patterns (95% simultaneous interval 7.861244 to 23.976742 ms). The adjusted-minus-raw change was 0.580844 ms (95% simultaneous interval −1.434850 to 2.596537 ms), which includes zero. The adjusted contrast is positive for this estimator and sample; this exploratory reuse of observations does not establish causality, a neural mechanism, or equality of adjusted and raw population contrasts. Arrow direction is confounded with required button, and timing, STOP outcomes, prior errors, response selection, and longer history may affect the comparison.

stop-signal task · reaction time · arrow transitions · trial history · bootstrap intervals · OpenNeuro ds000030

Admitted 2 citing publications

References

8
  1. usesTask schedule data predict later trial labels with 99.72% accuracy in 266 ds000030 participant tests sci:sha256:733489c123245d526f3cd87587b12f370ddafc90ab5ca45176a3221841a383d3

    We used the nominal schedule definition: active trial types, arrow directions, and following NULL durations. It enabled equal schedule weights and removal of one schedule at a time.

  2. The GO response time contrast is 35.98 ms lower after a previous arrow change in 125 ds000030 controls. sci:sha256:e1c6b1e3a638d04415d3e652898499a0c6189a64df4eaaadc8ee739d57508ebe

    [Legacy relation: reproduces] New code gives the same 6,740 GO triples in 125 participants, four pattern counts, -35.983991 ms interaction, and pointwise interval. This uses the same observations.

  3. usesMean GO reaction time is higher at the first three GO trials after STOP in 125 ds000030 control runs. sci:sha256:fa8f124bcd2975628f040bd689fe94803e19689ebc065949085d6f58efa4d31e

    We used the locked event tables, participant selection, and third GO and reference definitions. The new code gives the same raw contrast and counts.

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

    The analysis uses the OpenNeuro ds000030 version 1.0.0 event tables. The saved exact-version metadata identify this DOI and CC0 license; source object versions and SHA256 hashes identify the analyzed bytes.

  5. supportsdoi:10.1038/sdata.2016.110

    Describes the UCLA dataset and source stop-signal task procedure cited in the manuscript.

  6. doi:10.1037/a0021800
  7. doi:10.1371/journal.pone.0005607
  8. doi:10.1002/hbm.25347

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