The session error field contains the mean of block error counts in 270 ds000030 records.
In the UCLA Consortium for Neuropsychiatric Phenomics LA5c stop-signal phenotype table (OpenNeuro ds000030), all 270 complete records have a session direction-error field exactly equal to the mean of two block error counts. The block counts sum to 290, while the session field sums to 145; the session field differs from the block sum in 125 records and is noninteger in 72. All 15 session fields agree with their block means within an absolute tolerance of 0.000001 across 4,050 comparisons (3,671 exact, maximum absolute residual 0.00000005). All 810 median and 810 quantile SSRT values equal the corresponding reaction-time summary minus mean stop-signal delay, while the dictionary's stated quantile field does not match these values. A conditional count-weighted mean differs from the session mean in 163 records under assumptions of 96 GO trials per block and matching response inclusion; raw trials are needed to check those assumptions. A one-subject comparison of scanner and training event summaries does not identify the phenotype source trials. These results describe the versioned data fields and do not establish their original scoring procedure or pooled trial summaries.
stop-signal task · phenotype data · error counts · session fields · block means · SSRT · data audit · OpenNeuro · ds000030 · CNP · reproducibility
References
5- usesZero exported stop-signal delays co-occur with early responses in 266 CNP scan sessions sci:sha256:2526b705245e4c67d78ad1504dcdcf4b4bfbc99aa804b1547dbf61342a790b10
We used its hash-checked stop-signal dictionary, dataset metadata, README, CHANGES, and one scanner event table. These inputs and its version records enabled the phenotype field audit and one-subject source-mapping check. Fresh requests to all seven version-pinned public S3 URLs then confirmed the same input bytes. We did not reproduce its cohort delay result or execute its code.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The audited phenotype table and supporting inputs are from the UCLA CNP LA5c OpenNeuro ds000030 dataset. The analyzed objects are pinned by S3 version IDs and hashes; this does not claim that they match an immutable whole-dataset snapshot.
- supportsdoi:10.1038/sdata.2016.110
The dataset descriptor supplies context for the phenotype assessment data and stop-signal task, including the stated task design; the publication also records the limits of that source mapping.
- doi:10.7554/eLife.46323
- doi:10.1002/hbm.70158
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