sciscape Publications
← All publications

Selection by matching effect signs showed no clear decrease in load probability error in 12 final SEEG sessions under assumed timing

We tested whether matching the sign of a load effect in two earlier SEEG sessions reduces probability error in a final session. We used OpenNeuro ds004752 version 1.0.1. The sample had 12 epilepsy patients, 36 sessions, 673 training trials, and 344 test trials. The targets were four and eight letters after a correct response. Each rule selected eight power features and used the same fixed logistic fit. Mean Brier error was 0.2587 for matching signs and 0.2531 for pooled selection. The paired difference was +0.0056, with a patient 95 percent interval of [-0.0050, +0.0180]. Six patients improved and six had higher error. The result gives no clear evidence of a decrease and does not prove equal performance. Controls used session mean removal, fixation power, and 100 random training partitions per patient. This is an exploratory test on a reused cohort. Phase labels assume fixation at the start of each stored epoch. The package includes features, source versions and hashes, code, fitted states, trial predictions, figures, and reproduction instructions.

stereo-EEG · working memory · brain-computer interface · feature selection · logistic regression · Brier score · session transfer · exploratory study

Admitted 0 citing publications

References

4
  1. usesA fixed SEEG power model improved four versus eight letter ranking beyond history after correct responses in 13 final sessions sci:sha256:7917c63450566e88178fa4546b940d6c228e2a99f24d3a1ce66f24f825135a8f

    This work supplied the fixed ridge logistic functions used for all fitted models. Both feature rules used the same penalty, training scale, and model fit. It also supplied prior readout results on this reused cohort.

  2. usesUnder assumed timing, 34 of 96 single labels were wrong for 90% target load sets in 12 final SEEG sessions sci:sha256:2098e0530da24e71435c14df83afbd980ea67ff51b90ae35b10d8f377ba0dd78

    This work supplied the exact 36 session feature arrays, release metadata, pinned source hashes and object versions, and extraction and range check code. We checked all 560 copied files against its archived manifest. It permitted a fixed comparison of two feature selection rules.

  3. usesdoi:10.18112/openneuro.ds004752.v1.0.1

    Version 1.0.1 supplied the SEEG signals and trial metadata analyzed here.

  4. supportsdoi:10.7554/eLife.78677

    The source task paper supplies the task description and post-error rule used to define eligible trials.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.