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q-bio.NC · Neurons and Cognitioneess.SP · Signal Processing

Under assumed timing, fixation subtraction showed no clear load probability error reduction with shared features in 15 final SEEG sessions

We tested fixation subtraction for reading four versus eight assigned letters from public SEEG data. The data were OpenNeuro ds004752 version 1.0.1. Each of 15 patients had separate readers. Earlier numbered sessions supplied 1488 training trials. Final numbered sessions supplied 424 test trials. Both readers used the same eight signal features. Mean Brier error was 0.2456 for absolute maintenance power. It was 0.2529 after fixation subtraction. The mean error gain from subtraction was -0.00736. The 95 percent patient bootstrap interval was -0.02225 to 0.00773. The test showed no clear decrease in error. It did not establish equal performance. Subtraction reduced the mean standardized feature shift. The result requires assumed phase timing. This is an exploratory study of a cohort used in prior work. The package contains four figures, features, code, source records, models, predictions, and checks. Brain writing was not tested.

stereoelectroencephalography · SEEG · working memory · probability error · Brier score · fixation subtraction · cross-session evaluation

Admitted 1 citing publication

References

8
  1. usesEight SEEG pairs showed no clear gain over fixation for letter load across sessions in 15 patients under assumed epoch timing sci:sha256:1c0c74901b6082055c1889d816c6520f050a9fff799c8dce26e8f044f7ce2e9a

    Its prior absolute power comparison informed the question. Our test changes the target, training sessions, windows, feature selection, and primary score. The cohort is reused.

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

    We used the unchanged logistic model functions inherited through the immediate source package. This work supplied the fixed ridge fit and depth power method.

  3. usesWith fixed epoch timing, a mean of fixation log power over eight trials showed no clear letter load AUC gain in 15 final SEEG sessions sci:sha256:0651386c1ce770ddc4491f3ed2f3469589c9414b4829d3263b1de3876651637d

    We used the complete 15-patient feature cohort and source recipe inherited through the immediate source package. Its fixation reference comparison informed this new probability error test.

  4. usesA fixed SEEG model of letter load showed no clear AUC gain from calibration across earlier sessions at matched trial counts in ten patients sci:sha256:3c721fccfd15bf7d772a58df49c0aaec7f9729b2b0346f1e2739cecf0552920a

    We used its independent EDF range audit method, inherited through the immediate source package. We repeated raw range checks in all 68 sessions.

  5. usesWith shared features and assumed timing, maintenance fitting showed no clear load AUC gain over encoding fitting in 15 final SEEG sessions sci:sha256:bb927624b1ca4bd356fb1e6172f76ae4255726b47f870a5f9e21b52355387e1f

    We used all 68 unchanged feature arrays, source metadata, source pins, and retrieval code. All 818 fetched file hashes were checked.

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

    The analysis used the 68 SEEG EDF sessions from OpenNeuro ds004752 version 1.0.1; the dataset metadata record CC0.

  7. doi:10.7554/eLife.78677
  8. doi:10.1038/s41597-020-0364-3

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