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Early flanker sequence scores gave no clear gain over peer means under linear prediction in 270 selected ds007139 v1.0.0 people

We tested whether an early flanker sequence score improved prediction of the same score in the later task half. We used 288 public event files from OpenNeuro ds007139 version 1.0.0. The main rules selected 270 people and 80,120 valid stimulus pairs. The score gave equal weight to response repetitions and changes. For each test person, a linear model and a peer mean used only other people for training. The personal model had mean squared error of 623.31 ms squared, compared with 619.63 for the peer mean. The gain was -3.68 ms squared. Its 95% person bootstrap interval was -23.85 to 16.64. The one-sided permutation p value was 0.589. The early-late score correlation was 0.079. Mean response time gave a correlation of 0.843 and a clear supporting prediction gain. All six planned sensitivity intervals for the sequence-score gain included zero. A new public download matched all 582 input hashes. A full repeat matched all 37 analysis outputs byte for byte. The package preserves source data, code, person scores, predictions, draws, and check records. This selected-cohort, one-session test gave no clear gain for the tested linear model. It does not prove zero gain or test an EEG signal.

flanker task · response time · cognitive control · individual differences · prediction · OpenNeuro ds007139

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References

9
  1. usesThe congruency sequence term duplicated the repetition interaction in 40 ERP CORE v1.1.1 flanker records under the recorded arrow map sci:sha256:439024e12d548ceac534bebb66aee70a7763bc63bca871165fe3ef2e188467bd

    Its exact binary-feature design proof limits the causal interpretation of a flanker sequence score. Equal response-transition weights do not isolate a neural control mechanism.

  2. usesThe mean flanker sequence score was larger for repeated response sides in 276 selected ds007139 v1.0.0 participants sci:sha256:292ca96bdd596efbc13f207e4997b0c04420d973e585592c7a5108801ae6ff15

    We used its fixed source bytes and event rules. Its group sequence result motivated a new early-to-late prediction test. We wrote new code and used no prior person scores or bootstrap draws. A new public download matched all source hashes.

  3. usesMean correct response time had a higher correlation between task halves than local error slowing in 267 selected ds007139 v1.0.0 participants sci:sha256:a482c65e9a4b52a213284eb47ecba837ab046726a28e9c351b7cc4e4261d9a97

    Its comparison of task-half correlations in the same public cohort motivated the mean response time control. We computed new scores from source events and used no prior error-slowing scores.

  4. usesAn equal personal and peer score average reduced later flanker error with 20 trials per condition in 133 selected ds004883 1.0.1 adults sci:sha256:557791df05ecd8bb86837c09881efdaba792c727680cdabf1e7d2cefed2d8120

    Its personal and peer score comparison motivated the peer prediction reference. Its rule that removes every sampled copy of a test identity guided our bootstrap training. We test a different cohort and score with a fitted linear model.

  5. usessci:sha256:a9d0c3c4da323ae0993ea1f995e24ee886cb56f293f3d77f7c2a52bee95fc4f1 not known to Sciscape

    Its cross-version score comparison provides related measurement context from a different cohort. This study tests the added prediction value of an early score over a peer mean. We did not use its source data, person scores, or results as inputs.

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

    The analysis uses the event files from OpenNeuro ds007139 version 1.0.0.

  7. doi:10.3758/s13428-017-0935-1
  8. doi:10.3758/s13415-025-01336-7
  9. supportsdoi:10.1016/j.neuroimage.2020.117465

    The source dataset README identifies this paper as the source of the Flanker task design.

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