sciscape Publications
← All publications

Initial delay dominated the SSRT agreement covariance term in 232 ds000030 pairs

In 232 participant pairs from OpenNeuro ds000030 version 1.0.0, a signed covariance decomposition of planned-field stop-signal reaction time (SSRT) agreement assigned a correlation component of 0.5820 to the negative initial-delay term and −0.0169 to GO order time; the total Pearson correlation was 0.5496 (95% participant-bootstrap interval 0.4287 to 0.6495). This is an arithmetic description of the observed transfer design, not a causal effect of delay transfer or a fraction of biological reliability. The source files do not record random assignment to transfer or reset, and task context and response equipment differ between training and scanner runs. The physical cue times are not established by the analyzed fields. The dataset has 266 training/scanner pairs; prespecified probability, mean-RT, and omission screens retain 232. Results include sensitivity cohorts, two unexplained cross-run state-check failures, and the full analysis code and outputs. The analysis cannot separate participant information retained by transfer from agreement associated with shared task history, and it does not estimate the result of a reset intervention.

stop-signal task · stop-signal reaction time · SSRT · reliability · covariance decomposition · delay transfer · OpenNeuro · ds000030 · behavioral methods

Admitted 6 citing publications

References

7
  1. usesPost-update training values match 530 of 532 scanner staircase starts in ds000030 sci:sha256:507e8ced7b078092da14c41e94c62c7e534c22b53dc95bc4aac2a20898fa5f6d

    The 267 training event tables and four source metadata files were reused after checksum and pinned-source checks. Its state-continuity observation motivated the initial-delay diagnostic.

  2. usesStop-signal event tables match across ds000030 tags 00016 and 1.0.0, and participant delay arithmetic replicates sci:sha256:4d58ede2b9feb08e4c494f33fccb85f25eb6b0dd9eba4bb4e210a0e1edf3e37c

    The 266 scanner event tables were reused after checksum and pinned-source checks. They enabled the new paired covariance calculation.

  3. usesHybrid replacement of zero stop delays raises training–scanner SSRT rank correlation in 232 screened ds000030 participants sci:sha256:73e301e494ef180b4c6f8dcdc27c44c025efd5d1dc5785717ddcb0395f3146d9

    Its integration expression, paired sample screens, and published paired observations supplied the analysis rules and comparison context. This prevented a novelty claim for the repeated field-policy results.

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

    The analysis uses the training and scanner behavioral event tables from this exact dataset version.

  5. doi:10.1038/sdata.2016.110

    Dataset design and task context background; this data descriptor specifies the training and scanner task design.

  6. supportsdoi:10.7554/eLife.46323

    Supports the stated integration-method choices, including omission replacement and retention of responding errors, and informs the trial-count limitation.

  7. doi:10.3389/fpsyg.2012.00037

    Background on how task run, trial, and exclusion choices relate to SSRT reliability.

Cited by

6 publications

Public catalog entries on Sciscape.