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The 95% person bootstrap interval included zero for the adjusted FCz slope in 550 isolated errors from 23 ERP CORE participants

We tested whether early FCz error voltage was associated with local response slowing in a flanker task using ERP CORE/NEMAR version 1.1.1. The analysis included 550 isolated errors from 23 participants. The adjusted slope was 1.6358 ms per 10 microvolts more negative, with a 95% participant bootstrap interval of -7.3268 to 11.2440 ms. The interval includes slopes in both directions and does not establish either a nonzero or zero association. The EEG term reduced weighted residual variance by 0.036% in the observed data. All six planned checks also had intervals that included zero. The result applies to the specified signal conversion, score, sequence rule, selected sample, and adjusted model; it is not causal or evidence of prediction in new people. The study preserves its analysis code, results, validation files, and provenance. Original ERP CORE input files and author processing code are linked rather than redistributed because their recorded CC BY-SA 4.0 terms differ from SCI distribution terms.

error-related negativity · FCz · response slowing · event-related potentials · flanker task · person bootstrap · ERP CORE

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References

3
  1. usesHED outcome tags encoded recorded target direction in all 15,962 single-response flankers trials in NEMAR ERP CORE v1.1.1 sci:sha256:9aeb2b661f8b5ba4c8074c4bd41221340e93ead507e45b147177ee591b96c99c

    This study uses all 40 archived FCz epoch records, source event files, the audited response hand map, and source retrieval and extraction code. It tests early error voltage against local response slowing. Fresh retrieval and extraction reproduced every archived EEG file exactly.

  2. usesdoi:10.82901/nemar.nm000132

    The analyzed public EEG records and event files came from ERP CORE on NEMAR, dataset nm000132 version 1.1.1. The exact versioned source URL and file hashes are recorded in the original provenance; the DOI is the dataset identifier recorded in the source license.

  3. doi:10.1016/j.neuroimage.2020.117465

    Background paper describing ERP CORE, the source dataset used in this analysis.

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