sciscape Publications
← All publications
q-bio.NC · Neurons and Cognitionstat.AP · Applicationsstat.ME · Methodology

Removal of one STOP record changes partial Pearson correlation by less than 0.008 in 232 ds000030 pairs.

An exhaustive calculation removed each GO or STOP event-table record in 232 fixed training-scanner pairs from OpenNeuro ds000030 version 1.0.0. It recalculated the planned-delay SSRT score and the sample rules after each removal, then measured raw and partial Pearson correlation after adjustment for the original mean scanner starting delay. The maximum absolute partial-correlation change was 0.007886680570964366 for STOP removal and 0.003569570648889464 for GO removal. The baseline partial correlation was 0.48043787950028444. New code reproduced the selected sample, initial scores, and STOP-removal reference results within the stated tolerances. This is a finite sensitivity analysis for these event tables, rules, and score definition. The changes are not confidence intervals, probabilities of error, estimates of individual accuracy, or effects of removing a trial during task performance. Scanner starting delay depends on training, and its adjustment does not establish independent sessions or the effect of a real delay reset.

stop-signal task · SSRT · partial Pearson correlation · record removal · sensitivity analysis · OpenNeuro ds000030

Admitted 0 citing publications

References

6
  1. usesTraining and scanner SSRT have a positive partial correlation in 107 ds000030 pairs sci:sha256:e5b525afe46b22dc6f1b0617fbdfe2efa4c82b6a478a022f68a5d83499502bf9

    Its mean scanner starting-delay regression definition and interpretation limits give the adjustment for this 232-pair sensitivity calculation. This work does not reproduce its 107-control sample or bootstrap interval.

  2. usesSTOP record removal produces larger maximum SSRT changes than GO record removal in 122 selected ds000030 controls sci:sha256:4905c2e2b228ff13237aba8fa0b7eda158d5483ca4b55b1cf056abfd1bcc7032

    Its GO removal comparison and maximum replacement for omitted GO responses guide the GO-versus-STOP calculation. This work does not reproduce its 122-control scanner H-score comparison.

  3. Removal of one STOP record changes Pearson correlation by less than 0.007 in 232 ds000030 pairs with planned delays. sci:sha256:419e305f1d74d3ccb8a46909412563a0b72e683ca1613accccc0b56a71ef8410

    [Legacy relation: reproduces] New code gives the same 232 pairs, 464 planned-delay initial scores, 14,848 STOP removal scores and sample flags, and raw Pearson values within 5e-12. Its source files and reference outputs define this scoped reproduction. Other delay fields and Spearman correlation were not reproduced.

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

    The analyzed training and scanner event tables are from ds000030 version 1.0.0. The bundled metadata record this exact version-specific DOI and CC0 license.

  5. supportsdoi:10.1038/sdata.2016.110

    The source paper describes the task, its 32 STOP trials, and transfer of scanner starting delay from training, which provide context for the reported design and limitations.

  6. supportsdoi:10.7554/eLife.46323

    The consensus guide supplies the cited measurement context, including its recommendation of at least 50 STOP trials for specified group comparisons.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.