Deleting one recorded stop trial can shift omission-handling SSRT contrasts in two public tasks
Across two public stop-signal task datasets, deleting one recorded stop trial could shift the paired integration-SSRT contrast between maximum-RT replacement and omission deletion, even when go omissions were uncommon. In fixed baseline cohorts of 159 PIOP2 participants and 82 ds004636 participants, equal-participant mean contrasts were 11.453 ms and 1.817 ms. The largest absolute changes after any one-stop deletion were 85 ms and 67 ms; 36/159 and 6/82 participants had a maximum shift of at least 10 ms. Exact inverse-ECDF ranks show that the contrast is the sum of adjacent observed go-RT gaps between selected ranks, and that deleting a successful or failed stop produces two distinct probability changes. A <=5% omission screen reduced the cohorts to 152 and 77 while the largest shifts remained 85 ms and 67 ms. Linear interpolation gave different magnitudes, including largest shifts of 38.190 ms and 36.207 ms. The exhaustive deletion ranges are deterministic sensitivity of recorded estimators with go observations fixed; they are not confidence intervals, test-retest reliability, latent stopping ability, or a replay of the adaptive staircase. Cohort differences do not support biological comparison, and the results do not establish that omission deletion is preferable.
stop-signal task · stop-signal reaction time · omission handling · integration method · single-trial deletion · sensitivity analysis · inverse empirical CDF · reaction time
References
7- Go-omission replacement raised mean SSRT by 9.92 ms in an AOMIC-PIOP2 event audit sci:sha256:07ee02712f45efdb3b4855447692239efdfe9b27e8e5072fe4e0be43341454e8
[Legacy relation: reproduces] Used its checksum-pinned PIOP2 event/metadata bundle and archived numeric output. Newly written code recalculates overlapping trial counts, basic-screen eligibility, and available inverse-ECDF deletion/replacement estimates for all 226 event records, matching within 1e-8. The relation covers this computational reproduction on the same data, not bootstrap results, biological accuracy, or external-cohort validation.
- Replacing go omissions increased mean SSRT by 1.82 ms in 82 participants in one stop-signal dataset sci:sha256:2070f60af3246aa918f5a4119b1046aedf1a0911c640f5f8fd0bbf9fe276a881
[Legacy relation: reproduces] Used its checksum-pinned ds004636 event/metadata bundle and archived numeric output. Newly written code recalculates overlapping counts, basic/primary eligibility, available inverse-ECDF estimates, and linear contrasts across 105 unique event participants, matching within 1e-8 and preserving its identical-session deduplication. The relation covers these computational outputs, not bootstrap results or biological validation.
- doi:10.18112/openneuro.ds002790.v2.0.0
- doi:10.18112/openneuro.ds004636.v1.0.4
- doi:10.7554/eLife.46323
- doi:10.1038/s41597-021-00870-6
- doi:10.1038/s41597-024-03636-y
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesRemoval of one STOP trial gives a zero delay difference in 24 of 84 ds000030 control runs.
Used its paired GO omission-difference definition and adjacent GO rank-gap identity. These methods supplied a comparator on ds000030. This work does not reproduce its results on ds002790 or ds004636.
- usesRemoval of one STOP record changes H SSRT by at least 10 ms in 37 of 122 selected ds000030 controls with the rank rule.
Its removal of each recorded STOP row supplied the diagnostic concept. This analysis uses that concept for absolute SSRT and the delay-definition difference in ds000030. No prior code or other dataset was used.