The starting delay term is 0.5301 in the scheduled SSRT correlation for 107 ds000030 CONTROL pairs.
In 107 screened CONTROL participant pairs from OpenNeuro ds000030 version 1.0.0, the scheduled stop-signal reaction time (SSRT) training–scanner Pearson correlation was 0.606218. A descriptive covariance decomposition assigned 0.530117 of the normalized correlation to the subtracted scanner starting delay (95% participant-pair bootstrap interval 0.122437–0.927570); the GO order statistic term was 0.051389 and the later delay-change term was 0.024712. The starting-delay term was positive under the scheduled-delay rule, but the literal recorded-delay sensitivity estimate was 0.295811 with an interval spanning zero. These algebraic terms do not estimate the effect of changing starting delay. The analysis retained 126 complete pairs for sensitivity checks, including a boundary exception, and did not test reset delays, independent visits, physical timing validity, or a biological cause. The result is descriptive and limited to the analyzed CONTROL event records.
stop-signal reaction time · SSRT · starting delay · covariance decomposition · CONTROL · OpenNeuro ds000030
References
3- supportsPost-update training values match 530 of 532 scanner staircase starts in ds000030 sci:sha256:507e8ced7b078092da14c41e94c62c7e534c22b53dc95bc4aac2a20898fa5f6d
Fresh ds000030 1.0.0 CONTROL data show post-final training values matching 250 of 252 scanner starts, with the same two sub-10855 exceptions. All 214 starts in the 107-pair primary sample match. This supports the reported transfer pattern only in the shared CONTROL subset and connects it to a descriptive covariance calculation.
- usesDelay-field choice reorders calculated SSRTs in ds000030 control pairs sci:sha256:584ccdb7ca23277fefddc7a04d4bbf72a25dc20334189c48ea12b63224433b89
Its inspected source manifest, exact 107/118/126-pair screens, estimator convention, and frozen run table define this reanalysis. Fresh pinned source files match its hashes. New code matches 4,807 numeric run cells and 759 flag cells, then calculates scanner starting-delay covariance terms. Its rank-reversal analysis is outside this check.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analyzed stop-signal training and scanner event records are from the pinned OpenNeuro ds000030 version 1.0.0 source; its version-specific metadata and file hashes are preserved in the source manifest.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesStarting delay reduces scheduled SSRT leave-one-out mean squared error by 7.28% in 107 screened ds000030 control pairs.
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.
- usesTraining and scanner SSRT have a positive partial correlation in 107 ds000030 pairs
Its inspected source manifest, exact 107/118/126 pair selections, score definitions, run table, and raw correlation outputs define this extension. All 260 source files were retrieved anew and hash-verified. New code matches every run-table cell, sample identifier, and raw correlation, then calculates partial correlations. Its full staircase-transition audit is outside this calculation.