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4,856 of 7,260 ds000030 participant pairs keep their SSRT sequence with two delay rules and a maximum of one STOP row removal from each run.

In 121 control participants from OpenNeuro ds000030 snapshot 1.0.0, we compared stop-signal reaction time (SSRT) ordering for all 7,260 participant pairs. We used two delay rules: recorded delays, and recorded delays with exact zeros replaced by planned delays. For each participant, we compared the full 32-STOP-row score with scores after removing each STOP row, while keeping all GO rows. Under the primary limit of one removal per run, 4,856 pairs (66.887052%) kept the same strict sequence under both rules and all permitted removals; 639 had opposite fixed sequences under the two rules, and 1,765 lacked a fixed sequence under at least one rule. Without removals, the rules gave opposite sequences for 1,384 pairs. Linear-quantile and one-removal-total sensitivity results are also reported. Exact rational arithmetic was used. These finite within-record perturbations do not estimate sampling uncertainty, biological causes, sound-onset timing, model validity, or separate-session reliability; pair counts are dependent because participants recur across pairs. The package preserves source hashes, URLs, code, outputs, checks, and limitations.

stop-signal reaction time · SSRT · participant ordering · reaction time · sensitivity analysis · OpenNeuro ds000030 · exact arithmetic

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References

6
  1. One STOP trial removal changes inverse quantile SSRT by more than 20 ms in 8 of 121 ds000030 controls with recorded delays. sci:sha256:ae38a90d768d60875686ed7aaa38789816378b933e688347156af16b3a1f4dcf

    [Legacy relation: reproduces] The new code agrees on the 121-person selection and 16,380 A/B score cells. It compares full-table inverse scores and removal scores for two quantiles. It does not compare all target outputs.

  2. usesLogged versus planned stop delays changed score ordering in 126 controls, while omission handling had little effect after screening sci:sha256:a0ea09f80196b512ca6c9374facbd71468df8899863360c1afe922c4cee53dd4

    We used its strict participant-pair reversal measure to connect one-row score changes with participant sequence. The groups and delay comparisons differ. We did not reproduce its pair counts.

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

    The analysis uses the ds000030 version 1.0.0 event and participant tables.

  4. doi:10.1038/sdata.2016.110

    Source paper for the ds000030 task design and run trial counts.

  5. doi:10.7554/eLife.46323

    Consensus methods and reporting guidance for stop-signal reaction time.

  6. doi:10.3389/fpsyg.2012.00037

    Background reliability results using different repeated-run and split methods.

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