Separate code reproduces scanner results for 266 ds000030 participants
A separately written program reproduced the reported scanner calculations for 266 participants in OpenNeuro ds000030 snapshot 00016, using the same observations. It matched 6,379 participant numeric cells, 85,120 STOP-trial numeric cells, 118 summary values, 13 structural-check values, and all eight bootstrap endpoints; the maximum participant difference was 3.41 × 10⁻¹³ in the corresponding field unit. The program compared recorded stop-signal delays with a rule that replaces recorded zeros by positive nominal delays. The mean delay increase was 32.7185 ms across all participants (95% participant-bootstrap interval 27.9721–37.7585) and 33.2988 ms in the 241-participant exploratory screen (28.3516–38.4406). The two rules had Spearman rank correlations of 0.7807 for 265 estimable participants and 0.7585 for the 241 screened participants. This is a software replication using the same observations, not independent biological replication. It does not establish actual cue delivery, identify a correct delay rule, or test biological causality. The analysis used the public snapshot at the recorded Git commit; the saved version-specific dataset DOI refers to a different release and is not assigned here.
computational replication · stop-signal task · scanner event data · stop-signal reaction time · bootstrap · OpenNeuro · ds000030 · software verification
References
3- 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 the inspected target method, pinned source manifest, and reference outputs. Fresh public downloads and separate code reproduce all 6,379 participant numeric cells, all 85,120 STOP numeric cells, the numerical summary, structural checks, screens, ranks, and all eight bootstrap endpoints. The same observations do not provide independent biological replication or cue validation.
- doi:10.1038/sdata.2016.110
- doi:10.7554/eLife.46323
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