The two-sided model estimates a 15.27 ms third-GO difference in 125 ds000030 control runs
In 125 control runs from OpenNeuro ds000030, a two-sided trial-history model estimated a mean third-GO reaction-time coefficient of 15.27009234594015 ms (simultaneous 95% participant-bootstrap interval 6.356321746781495 to 24.183862945098802 ms). The model included the nearest STOP in the three preceding and three following active trials. Future-STOP coefficients had intervals that included zero; this does not rule out anticipation or schedule effects. A local paired comparison in 59 participants and 217 windows estimated 10.409749918917855 ms, with a simultaneous interval from -10.724802941325054 to 31.544302779160766 ms. This interval includes values on both sides of zero and does not establish no difference. The source is one scanner task in a selected control group. The analysis reproduces prior descriptive results on the same observations and does not establish a causal effect or replication in a new sample.
stop-signal task · reaction time · trial history · GO trials · bootstrap · OpenNeuro · ds000030 · control participants
References
7- usesTask schedule data predict later trial labels with 99.72% accuracy in 266 ds000030 participant tests sci:sha256:733489c123245d526f3cd87587b12f370ddafc90ab5ca45176a3221841a383d3
Its shared-schedule result helped select the future-STOP terms. These terms enabled the two-sided history check.
- usesThe post-STOP reaction-time difference was larger with arrow repetition in 125 ds000030 CONTROL runs sci:sha256:fa4d7f19073028c29c6a1212043b960fe26c03a06c2e7330c66c916e875d0a0a
Its arrow result helped select the arrow-repetition term in the adjusted model.
- Mean GO reaction time is higher at the first three GO trials after STOP in 125 ds000030 control runs. sci:sha256:fa8f124bcd2975628f040bd689fe94803e19689ebc065949085d6f58efa4d31e
[Legacy relation: reproduces] New code gives the same 125 participant IDs, trial counts, mean differences, and interval limits. The calculation uses the same source observations.
- usesLogged-zero STOP failures marked faster neighboring GO responses in ds000030 controls sci:sha256:7e032acb63155f71092e1b40351e9d60fe50202c74a5ba0db6ae55e83ae3e9dc
Its before-STOP comparison helped select the local reference. The present comparison uses a different window rule.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analyzed scanner event files came from this dataset release; source object versions and SHA-256 hashes are recorded in the package.
- doi:10.1038/sdata.2016.110
- doi:10.1002/hbm.25347
Cited by
2 publicationsPublic catalog entries on Sciscape.
- Three or more local STOP windows occur in 66 of 126 selected ds000030 CONTROL task files
[Legacy relation: reproduces] Its locked source data and comparison tables enabled this same-data calculation. New code gives the same raw/local counts, participant RT cells, mean contrasts, and three interval families within 1e-9 ms. This relation is limited to those parts. The code does not calculate the target regression models.
- usesNext STOP classes have no variation in full schedule-position cells from 126 ds000030 CONTROL scanner runs.
Its nearest STOP classes within three active trials supply the history rules. Its descriptive future terms supply the question.