The score difference can be positive or negative in 125 of 232 ds000030 version 1.0.0 pairs under the monotonic response model.
We calculated arithmetic score bounds for a hypothetical reset of the scanner stop-signal delay staircases to 250/350 ms. The OpenNeuro ds000030 version 1.0.0 event files contain no responses to this reset. In 232 paired participants, recorded outcomes plus an individual-trial monotonic response model allowed both positive and negative reset-minus-training score differences in 125 pairs. The mean difference bounds were -33.79950659910039 to 78.09078267669454 ms; they are not confidence intervals or population estimates. The model keeps GO times, omissions, trial order, and staircase assignments fixed, and assumes each trial's response function remains unchanged across earlier histories. These conditions are untested. The calculations bound an arithmetic score and do not establish valid stop-signal reaction times after reset, actual reset responses, or a biological causal effect. The results preserve source checks, transfer exceptions, and computational verification details.
stop-signal task · stop-signal delay · reaction time · staircase · counterfactual bounds · monotonic response model · OpenNeuro · ds000030 · dynamic programming · reproducibility
References
8- usesInitial delay dominated the SSRT agreement covariance term in 232 ds000030 pairs sci:sha256:e3d4735801d8736aeb1516ab1436f8ee6836d736bca0f2ae82e61d80da4a8280
Its missing causal reset comparison supplied the question. Its distinction between arithmetic score terms and intervention effects limits the new conditional bounds.
- usesOne outcome exchange changes the replay score by 25 ms or more in 259 of 265 ds000030 runs. sci:sha256:3836429377e0b64cb214fa40555c1e8d4284f4d28a16c894d149a1a0acacde65
Its state and delay-sum extrema method guided the algorithm. New code adds per-trial permitted-response constraints. No prior code was executed.
- usesFixed-response replay keeps a +50 ms start change through 16 stop trials in 495 of 532 ds000030 scanner staircases. sci:sha256:65f04e932e9a6b5933ff17fa36c05ac2b83493fb6dac468c762412784ac0a3e2
Its fixed-response replay distinction supplied the comparison path. New code verifies that fixed-response reset scores fall inside the response-model bounds.
- usesSTOP record removals change 31 of 232 ds000030 SSRT differences to the opposite sign when the two runs obey sample rules. sci:sha256:023ff5c81785d42d4a26624fa49e389899dd631e9317d611123d5def8d4b54bf
Its 533 event tables, four metadata files, source inventory, score rules, and paired sample rules supplied the inputs. Its baseline displays enabled numerical agreement checks.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The archived analysis identifies this exact OpenNeuro version as the source of the training and scanner event tables used in the calculation.
- supportsdoi:10.1038/sdata.2016.110
The source paper documents the stop-signal task rules, including the training delays and transfer to scanner runs, used to define the hypothetical reset.
- supportsdoi:10.7554/eLife.46323
The consensus guide supplies the integration calculation, omission treatment, and limits for individual estimates with few STOP trials discussed in the analysis.
- supportsdoi:10.1371/journal.pone.0210065
This study reports GO response slowing and effects on adaptive delay methods, evidence used to qualify the unchanged-GO condition. It did not test the ds000030 reset.
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