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All 140 patient runs have a task schedule that also occurs in control runs in ds000030 1.0.0.

In OpenNeuro ds000030 version 1.0.0, all 140 patient runs had a stop-signal task schedule also present among control runs. Thirteen of 39 schedule groups included all four diagnosis groups (124 participants). A fixed diagnosis lookup using an eight-trial schedule prefix classified 97/266 participants correctly (36.47%), below the majority-class baseline (126/266; 47.37%). Under 9,999 label permutations, mutual information was 0.35445 bits (p=0.5056) and balanced accuracy was 22.31% (p=0.7235). These fixed-data audits do not establish schedule/diagnosis independence, clinical performance, random schedule assignment, or causality; most schedule-by-diagnosis cells were sparse and no covariate adjustment was made.

OpenNeuro · ds000030 · stop-signal task · task schedule · diagnosis · common support · mutual information · permutation test · balanced accuracy

Admitted 2 citing publications

References

4
  1. usesTask schedule data predict later trial labels with 99.72% accuracy in 266 ds000030 participant tests sci:sha256:733489c123245d526f3cd87587b12f370ddafc90ab5ca45176a3221841a383d3

    Used its 266 event tables, fixed Git tree, schedule membership table, task schedule rule, and eight-trial prefix rule. These inputs enabled source checks and the diagnosis support audit.

  2. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    The analyzed event tables and participant metadata are from ds000030 version 1.0.0, pinned to Git commit 4070b6eea231517bfeff42527a46d9d166ac4e13.

  3. doi:10.1038/sdata.2016.110
  4. doi:10.1093/gigascience%2Fgix020

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