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Integration estimates of stopping time correlate less than go response times across task halves of 96 trials in 121 ds008037 runs

We compared stopping-time estimates and go response times across task halves in OpenNeuro ds008037, version 1.0.1. We used all 121 complete runs with computable halves. Each run had 192 trials and 48 stop trials. Across halves of 96 trials, Pearson r was 0.450 for integration stopping time and 0.896 for mean go response time. The paired difference was 0.446, with a 95% bootstrap interval from 0.249 to 0.695. We used 20,000 shared draws of people. Planned quality rules, another quantile method, and other trial splits kept the direction. This result repeats the direction of a prior AOMIC result in a separate public dataset. It concerns agreement within one run. It does not establish agreement across visits, a neural mechanism, or the validity of latent stopping time. The package preserves 249 source files, source hashes, a local plan, code, participant results, bootstrap draws, figures, and exact repeat checks.

stop-signal task · stop-signal response time · SSRT · response time · split-half correlation · measurement reliability · bootstrap · OpenNeuro · ds008037

Admitted 2 citing publications

References

3
  1. Integration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330

    [Legacy relation: reproduces] We used the prior question and exact integer-rank integration method. We repeated the direction of the stopping-time versus go-time correlation difference in ds008037. The new primary scope is 121 complete runs split into halves of 96 trials. The result repeats the direction, not the prior numerical values or across-visit reliability.

  2. usesdoi:10.18112/openneuro.ds008037.v1.0.1

    The analysis used stop-signal behavior files from OpenNeuro ds008037 version 1.0.1.

  3. doi:10.64898/2026.07.12.738085

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