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q-bio.NC · Neurons and Cognition

Shared fixation baseline subtraction gave higher hippocampal theta correlations between encoding and maintenance than linear baseline control in 14 SEEG patients

We tested whether one shared trial fixation baseline changes hippocampal theta correlations between encoding and maintenance. The public data were OpenNeuro ds004752 version 1.0.1. The analysis used 2,561 trials in 62 sessions from 14 epilepsy patients. Mean patient correlation was 0.5297 after shared baseline subtraction and 0.0111 after linear baseline control. All 14 differences were positive. The mean Fisher difference was 0.5943, with a 95 percent patient bootstrap interval of 0.5195 to 0.6671. The exact sign change probability was 0.0001221, under independence and symmetry assumptions. An exact covariance identity assigned a mean correlation contribution of 0.5272 to the baseline-related term. Every fixed secondary check gave a positive mean difference. Fresh raw checks reproduced features exactly in 37 distinct sessions, including all three native sample rates. The result concerns processing rules. It does not identify true neural activity or prove a causal mechanism. The package preserves a reusable audit tool, compact inputs, source hashes, code, results, raw retrieval recipes, and repeat instructions.

stereo-electroencephalography · intracranial EEG · theta power · baseline subtraction · baseline control · power correlation · measurement methods · working memory

Admitted 1 citing publication

References

8
  1. usesEncoding theta gave −1.14 percent mean maintenance prediction gain in excluded sessions from 14 SEEG patients with ridge penalty 10 sci:sha256:a9188c982204053d83bab2d2010ad0529df89141156df95e39ef4b02b736ffcb

    Its excluded-session prediction analysis in this cohort defined an interpretation limit. Our descriptive correlations do not establish prediction in excluded sessions.

  2. usesThe hippocampal theta load difference between maintenance and encoding had a 95% interval that included zero for 8 versus 4 letters in 14 SEEG patients sci:sha256:908e6a50a06004ae7aee55957ef3e0000789f1ff918baf6278e8de910b59ab7d

    This publication first supplied the hippocampal power features reused here through the later feature package. The citation preserves the feature dependency chain.

  3. usesFor 8 versus 4 letters, the hippocampal theta phase contrast interval included zero after delta and alpha power-law correction in 14 SEEG patients sci:sha256:5b247a6ba4eab6c854a957602f658338a9ee291e8ca7324d70237e79ece7e66e

    This publication supplied the exact compact hippocampal power arrays, fixed metadata, source pins, and retrieval code. We used these inputs for a new comparison of shared baseline subtraction with linear baseline control.

  4. uses201 trials with Artifact=0 contained SEEG endpoint runs of at least 1 ms in ds004752 version 1.0.1 sci:sha256:7b0f387655d4d6da31819a778c3110a0e61054145b5979d999416ba8f8918ddf

    Its stored integer endpoint census motivated the fixed check that omits patient 12. We do not treat endpoint runs as proof of amplifier clipping.

  5. usesShared trial baselines produce positive beta to high gamma log power correlations under independent response sampling in eight SEEG recordings sci:sha256:4a146eb0268a4abf6b2167cc46b61856afd37dd0b960000cda2b22d5d6b6ac89

    Its shared baseline result for beta and high gamma power in another SEEG dataset motivated the new question about theta power across task phases. We used its measurement warning, not its numerical outcomes.

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

    The analysis uses the version 1.0.1 SEEG dataset; its saved metadata records CC0.

  7. doi:10.7554/eLife.78677

    Describes the verbal working memory experiment and task used in the dataset.

  8. doi:10.3389/fpsyg.2011.00236

    Background on how EEG trial normalization rules can affect spectral measurements.

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