sciscape Publications
← All publications

All three unadjusted GO time differences decrease when the ds000030 1.0.0 sample changes from 265 participants to 124 with common task schedules.

In OpenNeuro ds000030 version 1.0.0, restricting the analysis from 265 participants to 124 participants with one of 13 task schedules shared across all four diagnosis groups decreased each unadjusted patient-minus-CONTROL mean GO response-time difference. The changes were −33.72 ms for ADHD, −34.72 ms for BIPOLAR, and −21.03 ms for SCHZ. In the schedule-adjusted model, the corresponding estimates were −20.06, 19.58, and 65.83 ms; all three Bonferroni intervals included zero. Schedule selection is descriptive and changes the analyzed participants. The result does not establish diagnosis or schedule effects. The millisecond scale assumes that source ReactionTime values are seconds; the custom event-column conversion was not independently checked. The report also gives sensitivity models, schedule resampling ranges, and limitations including recruitment, medication, scanner, and response-selection factors.

GO response time · stop-signal task · task schedules · sample selection · ADHD · bipolar disorder · schizophrenia · OpenNeuro

Admitted 2 citing publications

References

6
  1. usesA schedule and scanner model gives a 16.41 ms delay field difference in 88 selected CNP sessions. sci:sha256:8231ab722c10bcca7571f1312b5ef356f96e4bfe7a06d95ee189b9bade99cc13

    Used its method distinction between sample selection and model adjustment. This distinction enabled separate comparisons of full-sample, common-sample, and adjusted GO time differences. Its stop-delay outcome was not reused.

  2. usesAll 140 patient runs have a task schedule that also occurs in control runs in ds000030 1.0.0. sci:sha256:5bb35f38a1263e76b5273023cf3ce7b9f7dfc1df71d6d520527b411073975b41

    Used its event tables, fixed source manifest, task schedule rule, and open GO time question. These inputs enabled the common schedule analysis. Calculated its full schedule membership again.

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

    The analysis uses event tables and participant metadata from OpenNeuro ds000030 version 1.0.0.

  4. doi:10.1038/sdata.2016.110
  5. doi:10.7554/eLife.46323
  6. doi:10.1002/hbm.25347

Cited by

2 publications

Public catalog entries on Sciscape.