New code gives the same 58 row limit for a negative unadjusted age slope in 122 ds000030 controls.

A computational reproduction used new code and the same public OpenNeuro ds000030 version 1.0.0 observations, sample rules, and scoring rules to recalculate conditional limits for stop-signal reaction-time age slopes in 122 controls. It matched all 30 target values, all sample identifiers, and all eligible source rows. For an unadjusted model, the smallest slope remains positive with at most 57 selected changes (0.0056962948057848635 ms/year) and is negative with 58 (-0.004436558094277447 ms/year). The minimum counts are 15 whole-control selections for the unadjusted model, 55 row selections after source-gender adjustment, and 14 whole-control selections after adjustment. All three uniform delay rules give positive slopes; age-dependent selections can give negative slopes, with no probability assigned to those selections. These are conditional limits, not confidence intervals or evidence of a biological age effect. The tasks have 32 STOP trials, below the cited consensus recommendation of 50 for standard group comparisons. The mean-time condition does not establish all race-model assumptions, and observations are cross-sectional. No new observations were collected.

stop-signal task · stop-signal reaction time · computational reproduction · ordinary least squares · dynamic programming · OpenNeuro ds000030 · conditional limits · age slope