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Response terms gave an uncertain mean late Pz contrast change in 13 adults from ds003061 v1.1.2 under fixed additive models

We compared two fixed additive EEG models in all 13 adults and 39 runs of OpenNeuro ds003061 version 1.1.2. Adding separate recorded response terms changed the mean 300–600 ms Pz target minus standard score from 4.078 to 3.015 microvolts. The paired change was -1.063 microvolts, with a 95% person bootstrap interval of -3.835 to 1.988 microvolts. The interval includes zero, so the main test does not establish a group reduction or an absence of change. Both models used the same artifact-screened samples. A planned Pz minus Fz check gave a larger negative change. The package includes two continuous traces per run, checked source metadata and hashes, all fits, and five planned checks. It also includes a test with known coefficients and code for raw retrieval and offline repetition. Separate solvers and a complete repeat checked the numerical results. The response term can contain decision-related activity. The result does not prove a motor source or identify the true P3 component.

continuous EEG · event regression · auditory oddball · response timing · P3 · bootstrap · artifact screening

Admitted 2 citing publications

References

4
  1. usesTargets had larger Pz minus Fz scores than noise at 300–600 ms in 12 selected adults from ds003061 v1.1.2 sci:sha256:5762a115de516457375c51da5efc6fe7b013d5640b70a9eb599c9f4125ebac80

    Its late target-versus-noise result in 12 selected adults informed the new response-timing question and the planned Pz minus Fz check. The new fits use a target-minus-standard contrast in all 13 adults. The earlier numerical estimates were not inputs.

  2. usesBaseline correction left early leakage from 13 late EEG templates under a two-pass 1 Hz high-pass filter sci:sha256:d417e3b810768f0f95cdbcf7a22270e53cdb7c6684084eb8526bd629fc3d7761

    This work supplied the preserved BIDS metadata, fixed Git commit, annex keys, MD5 values, SHA-256 values, and raw EEG URLs. We checked the pinned metadata and pointers, downloaded all raw EEG files again, and checked all file identifiers. Its filter test informed the choice to add no high-pass filter.

  3. usesdoi:10.18112/openneuro.ds003061.v1.1.2

    The analysis used all 13 adults and 39 runs from this exact OpenNeuro release; source files were checked against the pinned Git commit and recorded hashes.

  4. doi:10.7717/peerj.7838

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