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Mean correct response time had a higher correlation between task halves than local error slowing in 267 selected ds007139 v1.0.0 participants

We tested whether local error slowing preserves differences between people across consecutive halves of a public Flanker task. Fixed rules selected 267 people from 288 event files in OpenNeuro ds007139 version 1.0.0. Mean correct response time had a Pearson correlation of 0.853 between halves. The local score had a correlation of 0.377. The paired gap was 0.476, with a 95% bootstrap interval of 0.319 to 0.651. The mean local score over people was positive: 36.17 ms [32.64, 39.94]. Planned count, timing, compatibility, and score checks retained a positive gap. An exploratory check used the same response pairs. Their mean had a correlation of 0.789 and exceeded their local difference by 0.412 [0.264, 0.584]. The result concerns measurements within one task under these rules. It does not establish stability across visits or a neural cause. The intervals assume independent people and fixed selection. The package preserves 582 source files, trial and person tables, code, bootstrap samples, figures, and reproduction instructions. A separate parser checked all 117,886 trials. An offline replay reproduced all 27 numerical result files exactly.

error slowing · response time · measurement stability · Flanker task · person-level correlation · cognitive control · OpenNeuro

Admitted 3 citing publications

References

4
  1. usesIntegration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330

    The earlier comparison of stopping estimates and mean response time motivated this comparison between task halves. We used separate PURSUE data and new code.

  2. usesdoi:10.18112/openneuro.ds007139.v1.0.0

    The analysis uses Flanker event records and EEG metadata from PURSUE dataset version 1.0.0.

  3. doi:10.1016/j.jmp.2012.04.001
  4. doi:10.1016/j.neuroimage.2020.117465

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