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In 122 ds000030 controls, 58 zero-delay changes can make the age slope negative

I tested whether changing only recorded zero stop delays can make the calculated age slope negative in 122 controls from OpenNeuro ds000030 version 1.0.0. With recorded delays, the ordinary least squares age slope was 1.167132750 ms/year; with planned delays for all STOP trials it was 1.430373650 ms/year. Across all allowed binary changes to the 267 eligible rows, the slope ranged from -0.156363000 to 2.715732745 ms/year. The smallest change set that made the age-only slope negative changed 58 rows in 18 controls and gave -0.004436558 ms/year; the best slope using at most 57 changes was 0.005696295 ms/year. In a model with source gender, 55 changed rows were sufficient, giving -0.009598375 ms/year. These are exact conditional limits for this fixed sample, not confidence intervals or probabilities of timing errors. The analysis does not identify the sound-onset rule, establish a population relation or biological cause, or resolve model assumptions. All three uniform delay rules gave positive slopes. The source dataset is CC0 and its recorded version-specific DOI is 10.18112/openneuro.ds000030.v1.0.0.

stop-signal task · stop-signal reaction time · age slope · zero-delay trials · sensitivity analysis · ordinary least squares · OpenNeuro · cross-sectional data

Admitted 5 citing publications

References

6
  1. usesDelay field selection for each control can change highest score group labels for 31 of 102 ds000030 1.0.0 controls sci:sha256:b486f2efee03cafb8edc828b7d0ece5c583434fa3ea751766c9c9eee28aa6339

    Used its field-selection sensitivity question to test rules that differ between persons. The new analysis tests an OLS age slope in 122 controls and permits only recorded-zero changes.

  2. usesAge slopes are 1.167 and 1.430 ms/year for two delay rules in 122 ds000030 CONTROL participants. sci:sha256:f8980e5dbb8be0df995af04156f151da646272578912eedaf79b2d7477923aff

    Used its pinned public source manifest, source files, 122-control sample, score rules, and numerical references. The new code checks its six control age point slopes before calculating conditional limits.

  3. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    The analysis uses the scanner stop-signal events and participant records from ds000030 version 1.0.0.

  4. doi:10.1038/sdata.2016.110

    Dataset report used for the scanner-task trial counts and task context.

  5. doi:10.7554/eLife.46323

    Consensus guidance used for the integration estimator, trial-count limitation, and limits of the mean-time screen.

  6. doi:10.3389/fpsyg.2023.1108725

    Background context on differing cross-sectional and follow-up stopping results in another sample; this work was not reproduced here.

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