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3-back false alarm odds were higher at lag 2 than lag 1 in 60 women from ds007022. A common odds model used single matches in four prior trials.

We tested letter history in OpenNeuro ds007022 version 1.1.0. The sample had 60 women and three visits. The main analysis used 3-back non-targets with one letter match in four prior trials. False alarms occurred on 52 of 445 lag 1 trials and 152 of 532 lag 2 trials. A common odds model compared the lags within each person and visit. The lag 2 to lag 1 odds ratio was 3.23. Its whole-person bootstrap 95% interval was 2.08 to 5.36. Response markers, an eight-letter history, target exclusions, and trial position checks also gave higher odds at lag 2. This result describes the released task and sample. It does not identify a neural cause or a training effect. The package preserves 186 source files, 27,000 annotated trials, all 20,000 bootstrap samples, code, and repeat instructions. Fresh downloads matched the source hashes. An analysis of the new downloads gave identical result files. Independent probability and source calculations checked the method. The general n-back lure effect was known before this study.

n-back task · working memory · false alarms · lure interference · temporal order · conditional logistic model · whole-person bootstrap · OpenNeuro · behavioral analysis

Admitted 2 citing publications

References

4
  1. usesWith common baseline slopes, all four corrected intervals for n-back and ink Stroop differences at training end included zero in 60 women sci:sha256:2f524116779611ad083af3129a7d09bf8a84fac670c4f6aedb62c522befcb5e5

    We obtained 186 source files from this preserved archive and read its response window audit. Fresh downloads verified every file. We wrote new code for the trial history comparison. The studies use the same cohort.

  2. usesdoi:10.18112/openneuro.ds007022.v1.1.0

    This exact OpenNeuro release supplies all analyzed n-back event files and cohort metadata; its saved dataset description identifies the release as CC0.

  3. doi:10.3389/fnins.2024.1297344
  4. doi:10.1016/j.neuroimage.2022.119098

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