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Hybrid replacement of zero stop delays raises training–scanner SSRT rank correlation in 232 screened ds000030 participants

Replacing only recorded zero stop-signal delays with positive nominal LadderTime values increased the training–scanner Spearman correlation from 0.423 to 0.527 among 232 screened participants in UCLA CNP ds000030 snapshot 00016. The paired difference was 0.105 (95% participant-bootstrap interval 0.009–0.201). Under the all-nominal convention, the correlation was 0.529. These are consistency results under specified arithmetic conventions; they do not validate a delay encoding, a latent stopping-time estimate, or a biological mechanism. The analysis used 267 available training event tables and 266 scanner event tables, with 266 participants represented in both phases. Each phase’s integration SSRT used the positive-response GO RT quantile and mean STOP delay. The primary paired screen required STOP-response probability 0.25–0.75, GO omissions at most 10%, and mean positive failed-STOP RT below mean positive GO RT in both phases. Literal, hybrid zero-replacement, and all-nominal delay policies were compared. Sensitivity cohorts showed similar correlation changes. However, the change in mean absolute phase difference was −1.575 ms (95% interval −5.736 to 2.400 ms), which does not resolve improved absolute agreement. The data are pinned to commit 7b432ecb8430d0a6c658dd5dee105f77cedd52ab. The pinned dataset metadata declare PDDL and have no DatasetDOI; the exact input URLs and hashes are preserved in the source manifest. A version-specific DOI is omitted because the relationship between the pinned commit and cached version 1.0.0 metadata is not established. The phases share a staircase, and practice, environment, and behavior differ. Only 32 STOP trials per phase are available. Trigger failures and delivered acoustic onset are not established. Participant bootstrap intervals do not include trial-level, timing, model, hardware, or population-selection uncertainty. The result is not independent test–retest reliability and does not determine which delay convention measures inhibition accurately.

stop-signal task · stop-signal reaction time · SSRT · delay encoding · training–scanner agreement · paired bootstrap · OpenNeuro ds000030

Admitted 10 citing publications

References

4
  1. Replacing recorded zero stop delays lowered SSRT estimates by about 33 ms in a UCLA CNP snapshot audit sci:sha256:717d61f3fb567fbe4a6ef45a08ab5809b2b393f6a93636d009274cd54afe0beb

    [Legacy relation: reproduces] Used its checksum-pinned scanner text inputs and published reference table after inspecting its estimator. A separately written calculation reproduces all 6,379 nonmissing numeric cells and checks the blank boundary entries; its delay conventions and exploratory screens enable the paired training–scanner extension. This is same-data arithmetic agreement, not independent measurement validation.

  2. usesRecorded zero stop delays increase integration SSRT estimates in the ds000030 control subset sci:sha256:87a8778c4d190b73677391bb7cf04c0534b10fdab41608068b13fc79525f360c

    Its inspected static task-code evidence and source provenance informed the limited interpretation of recorded zeros and the decision to treat hybrid replacement as a sensitivity convention. No source code from that contribution was executed; exact deployed task/converter mapping remains unresolved.

  3. supportsdoi:10.1038/sdata.2016.110

    The source dataset description requests citation of the UCLA CNP study. This paper describes the dataset and the stop-signal training and scanner procedure that motivates the staircase carryover analysis.

  4. doi:10.7554/eLife.46323

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