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q-bio.NC · Neurons and Cognition

The 95% interval for error prediction gain from fixation theta included zero in a fixed model tested on numbered session halves from 14 SEEG patients

We tested if hippocampal theta before encoding improves error prediction beyond task history. We used public OpenNeuro ds004752 version 1.0.1, with 62 SEEG sessions from 14 patients with epilepsy. For each patient, models used the first half of numbered sessions for fitting and the remaining sessions for testing. The primary test had 1545 trials and 151 errors in 33 sessions. Mean gain was -0.008975 nats per trial. Its 95 percent patient bootstrap interval was -0.021842 to 0.002362. Positive gain would favor theta. The exact two sided sign-flip p value was 0.196777 under independent patients and a symmetric null. The interval included zero and did not establish a benefit, a loss, or equivalence. All five planned check intervals also included zero. The intervals hold fitted models fixed and omit some training uncertainty. Interpretation as later acquisition requires session numbers to follow acquisition order. This is a new analysis of the same cohort, not an independent cohort test. The package preserves code, features, source metadata and hashes, raw examples, complete model fits and predictions, all results, separate checks, and raw retrieval instructions.

stereoelectroencephalography · hippocampus · theta power · verbal working memory · error prediction · logistic regression · session split · patient bootstrap

Admitted 2 citing publications

References

7
  1. usesAdding late hippocampal theta increased mean recall prediction loss in a fixed model tested on separate sessions from 14 SEEG patients sci:sha256:2af9e10addd95c19fd30abaf19a221bda8a8db1eccd6182086678ce642c58d87

    We retrieved the feature source through this archive and adapted its logistic solver structure and independent EDF range-check code. The new test uses fixation theta, task history available before encoding, and separate numbered session halves.

  2. usesMean hippocampal fixation theta power density decreased more than a fixed spectral trend after errors at load four in 14 epilepsy patients sci:sha256:e79f76d88dc1468b3801b5d292228dc657eb4ca1255530107b7bf8fe34f5c216

    Its same-cohort fixation result showed an association with preceding errors. This context informed the prior-response control. Its fitted coefficients and outcome estimates did not enter the new prediction models.

  3. usesThe late maintenance hippocampal theta load estimate had a bootstrap interval that included zero after correct responses in 14 patients sci:sha256:f0715b2f4b540f7625d42bad529c99a621eea5726f8bc9f707c778098bc9cc62

    We used its unchanged 62-session feature archive, source metadata, raw extraction code, fixed object URLs, and full source hashes. New raw checks verified fixation powers. New prediction models did not use its load estimates.

  4. usesAfter correct responses, fixation theta power was lower after eight than four letters in 14 SEEG patients with the stored reference and linear trends sci:sha256:4b939563159f2dd8e44b9daadad0fd1612e225bb316937e9d3a741f741316571

    Its same-cohort fixation result tested the preceding memory load. This context informed the prior-load controls. Its fitted coefficients and outcome estimates did not enter the new prediction models.

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

    The analysis uses the OpenNeuro ds004752 dataset, version 1.0.1.

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

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