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Task history had lower mean memory load prediction loss than history with fixation power subtraction in session tests from 11 epilepsy patients

We tested fixation subtraction for hippocampal memory-load prediction in OpenNeuro ds004752 version 1.0.1. The main tests used 11 epilepsy patients, 56 sessions, and 2565 trials. Models used six power bands and task history. Separate inner sessions chose each ridge penalty. Fixation subtraction increased mean patient log loss by 0.021231 nats over task history alone. The 95 percent patient interval for loss gain was [-0.030173, -0.013463]. All 11 patients had higher loss. The Holm-adjusted sign-flip p value was 0.001953. The mean gain over absolute maintenance power was -0.007384; its adjusted p value was 0.075195. Patient inference assumes independent sampling and symmetric null effects. These are retrospective session tests of scheduled load. The history comparison interval included zero in the fixed check that used only trials after correct responses. This secondary analysis shares its cohort with the cited parent work. The package preserves inputs, exact source versions, code, models, predictions, checks, and an exact offline repeat.

hippocampus · intracranial EEG · verbal working memory · memory load · session prediction · log loss · fixation normalization · ridge regression

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References

4
  1. usesTask history reduced prediction loss for three memory loads in test SEEG sessions from 14 patients at penalty 10 sci:sha256:97f865e108fd2e616227b1ee0371d6a713a479d5a35c71dcc46b9ee01a34db7c

    We used its unchanged SEEG feature arrays, pinned source hashes, metadata, extraction code, and data and model-check helpers. Its fixed-penalty results set the question for this new baseline comparison.

  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

    This publication is the origin of the reused hippocampal fixation and maintenance features. We preserve the direct parent import chain and add fresh signal checks.

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

    The analysis uses the pinned OpenNeuro ds004752 version 1.0.1 dataset and preserves the source hashes and retrieval recipe.

  4. doi:10.7554/eLife.78677

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