A 1,000 ms limit changes conditional response distributions in 36 of 122 tested ds000030 control runs.
In a fixed sample of 122 control runs from OpenNeuro ds000030, applying a 1,000 ms response-time limit changed conditional GO–STOP response distributions at times up to 1,000 ms in 36 runs and changed the largest positive difference in 27. Crossing counts changed from 102 to 103: one run gained a crossing and none lost one. The all-trial comparison was unchanged at times up to 1,000 ms. In the run with the added crossing, all 93 positive GO records were labeled IncorrectResponse and JUNK; the source does not explain these labels, so they do not support a biological interpretation. A post-result check using only CorrectResponse GO records found 100 crossings under both rules among 121 defined runs, with no change in crossing status. The limit is a sensitivity rule, not a validated correction to the task record. These counts describe the archived records and do not establish biological cause, race-model failure, or an individual diagnosis.
stop-signal task · reaction time · empirical cumulative distribution · response-time limit · OpenNeuro ds000030
References
6- usesExact permutation probabilities are more than 0.31 for all 102 distribution crossings in 122 selected ds000030 controls. sci:sha256:8ae3a83a153b600b06b6361503afe80db95a11d0e60b811efa18d60d9c34adfa
The exact CDF statistic, initial 102-of-122 count, and sub-10527 correct-GO warning enabled baseline checks and a stated post-result sensitivity check. Its permutation probabilities were not used.
- usesA 1,000 ms response limit adds 142 GO omissions in 126 ds000030 control runs. sci:sha256:73a838abea0523629d0cd64a26c64b10f29ffe36490b60ad28722c610cc4d808
The source manifest, fixed selection rule, 1,000 ms response limit, and subject table enabled a paired comparison and a count-and-mean reproduction check.
- uses101 of 121 controls in the primary sample have ECDF crossings in ds000030 version 1.0.0. sci:sha256:2912a6993a2628ae66124e2aff0380941f9013627133f78eb0a07a76b8ca6604
The conditional and all-trial CDF definitions enabled the paired comparison and the exact all-trial equality check.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analysis used stop-signal event records from OpenNeuro ds000030 snapshot 1.0.0. The publication records its Git commit and checksums for the analyzed files.
- doi:10.1038/sdata.2016.110
- doi:10.1007/s42113-023-00184-3
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