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Starting delay reduces scheduled SSRT leave-one-out mean squared error by 7.28% in 107 screened ds000030 control pairs.

In 107 retrospectively screened control training–scanner pairs from OpenNeuro ds000030 version 1.0.0, adding scanner starting delay to training stop-signal reaction time (SSRT) reduced leave-one-participant-out scheduled SSRT mean squared error by 7.275347% (2,227.176493 to 2,065.141665 ms²). A trial-pattern holdout showed a 7.211829% reduction. In a fixed 27-person test set, the combined model had RMSE 47.055753 ms and 95% split-conformal intervals covered 22/27 scores (0.814815; exact binomial 95% limits 0.619170–0.937000). These are within-sample prediction comparisons, not evidence of a delay-reset effect, stable individual stopping ability, causal mechanism, or future coverage. Screening used scanner outcomes, starting delay carried training response history, and shared patterns and overlapping model fits limit inference.

stop-signal task · stop-signal reaction time · held-out prediction · starting delay · conformal prediction · cognitive neuroscience

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References

7
  1. usesTraining and scanner SSRT have a positive partial correlation in 107 ds000030 pairs sci:sha256:e5b525afe46b22dc6f1b0617fbdfe2efa4c82b6a478a022f68a5d83499502bf9

    Its mean starting-delay adjustment and distinction between arithmetic covariance terms and regression motivate the combined training-score and starting-delay model. This run fits that model inside participant holdouts and adds prediction intervals. It does not repeat the partial-correlation bootstrap or test a delay reset.

  2. usesThe STOP history model has 2.31% lower mean squared error in 38 ds000030 schedule tests. sci:sha256:8bfc1c0149a32b0d405bd2422079a29e2bb8b6628435f347c0482c8b6388860c

    Its complete-schedule exclusion design motivates the scanner trial-pattern holdout check. Here patterns use ordered trial type, arrow direction, and ladder number for 256 rows. The target is scanner SSRT in version 1.0.0; its later-GO target, history features, and R1.0.5 data are not reused.

  3. usesThe starting delay term is 0.5301 in the scheduled SSRT correlation for 107 ds000030 CONTROL pairs. sci:sha256:6958c30918a34c0a8a7711a259feef5ac6be0cbb5faf4fe6d633ee2944615f81

    Its inspected retrieval script, source manifest, exact score and screen definitions, and frozen run table define this extension. Fresh pinned source retrieval and new scoring match 5,060 shared run cells, both tested identifier lists, and six correlations. This run adds held-out prediction tests; it does not repeat the full transition audit or covariance bootstrap.

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

    Source observations are from OpenNeuro ds000030 version 1.0.0; the analyzed text files were pinned to the recorded Git commit and matched their source checksums.

  5. doi:10.1038/sdata.2016.110
  6. doi:10.7554/eLife.46323
  7. doi:10.1080/01621459.2017.1307116

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