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q-bio.NC · Neurons and Cognitionstat.ME · Methodology

A separate sequence term cannot be estimated in 445 TCP Stroop runs with unrestricted repetition pattern effects

We tested whether TCP Stroop records can estimate a sequence term separately from complete repetition pattern effects. We used all 445 runs from 226 people in OpenNeuro ds005237 version 1.1.3. Each trial uses three color names. The model gives each observed nonzero four-bit equality pattern a free effect. The no-overlap pattern has effect zero. Exact null vectors show that the separate sequence coefficient is not identifiable. No pair of two incongruent trials has disjoint names. A common linear transform preserves the dependence. Exhaustive four-name designs pass the audit. The primary descriptive mean was 47.17 ms in 212 selected people. Its 95 percent person bootstrap interval was 25.68 to 68.54 ms. After removal of repetitions within the same role, the mean was -28.28 ms in 208 people. In the primary sample, assumed pattern shifts of up to 16.91 ms permit a zero adjusted mean. These data do not measure those shifts or identify a control mechanism. The package contains a general audit tool, proof, 894 pinned source files, all results, resampling records, figures, and reproduction commands. Fresh source checks passed. All 40 numeric result files matched a full rerun. The general repetition problem is established. This work supplies the TCP audit and a checked method.

Stroop task · congruency sequence effect · feature repetition · identifiability · design matrix · exact rank · OpenNeuro · Transdiagnostic Connectome Project

Admitted 1 citing publication

References

8
  1. usesCongruency sequence and category repetition interactions were identical in 207 AOMIC PIOP1 v2.0.0 gender Stroop designs with shared timing and a common linear transform sci:sha256:dc243e2a8f0ad3d76d782e858b9388cbf22fe90f1bdc10f3f8da3bb7ca3ff7af

    The common linear-transform argument was used to prove that the TCP null vector remains after shared event and signal transforms.

  2. usesThe Stroop sequence estimate decreased without shared identities in ds003465 v1.0.8 for correct pairs with current times of 0.2–2.0 seconds sci:sha256:284f06a6bd3adc25cd31e6a7c2d94ab03eb1f8c8d000cd322ec68748b9988d45

    The disjoint-pair analysis was used to select a complete name-overlap support check in a different public Stroop task.

  3. usesFirst run Stroop cost lowers observed test error in 69 selected TCP adults under fixed ridge models, but the approximate 95% gain interval includes zero sci:sha256:4ba07cc6b3d685f9fef9f49f1470f67f3d4c25edea33986d7a778b46caab6e76

    The exact TCP source archive and retrieval manifest were used. Every source file was checked against the pinned public repository.

  4. usesdoi:10.18112/openneuro.ds005237.v1.1.3

    This exact OpenNeuro release supplied the audited Stroop event records.

  5. doi:10.1038/s41597-025-04895-z
  6. doi:10.1037/a0038073
  7. supportsdoi:10.1371/journal.pone.0102337

    This work supplies the cited example that sequence effects can be observed when feature-repetition and contingency confounds are controlled.

  8. doi:10.3389/fpsyg.2014.01358

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