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q-bio.NC · Neurons and Cognition

The 95 percent bootstrap interval for hippocampal theta load pattern repeatability included zero in 13 SEEG patients under independent sampling

We tested whether a hippocampal theta memory load pattern repeats across SEEG sessions. Public OpenNeuro ds004752 v1.0.1 supplied 13 patients, 56 sessions, 95 matched contacts, and 1,551 selected trials. Each session model estimated eight letters minus four letters in maintenance theta power change from fixation. We removed each pattern's contact mean and averaged products between separate sessions. The equal-patient mean was -0.258 dB squared. Its 95 percent patient bootstrap interval was -0.667 to 0.083 dB squared under independent patient sampling. This test did not support a positive repeat contact pattern. It does not prove absent local load information. The method is an application of established pattern products. All planned descriptive checks are reported. Independent calculations checked every model and score. A second offline run matched all 11 analysis outputs. Fresh raw rebuilds matched all feature arrays in 29 of 62 source feature sessions. These checks covered all 14 source feature patients and all three native sample rates. The package preserves fixed inputs, source versions and hashes, extraction code, analysis code, estimates, bootstrap samples, figures, checks, and retrieval instructions. This is a secondary study of a small clinical cohort. It does not establish long-term or general population repeatability.

stereoelectroencephalography · hippocampus · theta power · working memory · pattern repeatability · cross-session reliability

Admitted 2 citing publications

References

7
  1. usesFixed linear models showed no clear load ranking gain from late maintenance power changes across sessions in 14 SEEG patients sci:sha256:aa3a396d6b03e5961e71e12c6bda04632feeb878103c87fb4efde61630a7a1df

    The prior study tested load prediction with several power bands. Its task and inference limits helped define the scope of this study.

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

    This study uses the 62 feature files, fixed metadata, source hashes, and unchanged extraction code. The new analysis tests contact patterns across sessions.

  3. usesThe 95 percent interval for hippocampal theta load prediction gain across sessions included zero in 14 SEEG patients under independent sampling sci:sha256:ff4db840b94020dea22f35a279e113d7cdca0522d613f0691c5dbf293400e584

    The prior study tested contact means across sessions. Its result motivated the test of contact patterns after their means were removed.

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

    The analysis used features and source metadata from OpenNeuro ds004752 version 1.0.1; the exact version and CC0 license are recorded in the source metadata.

  5. supportsdoi:10.1038/s41597-020-0364-3

    This source data paper documents the task rule that an incorrect response changes the next load to four letters.

  6. supportsdoi:10.7554/eLife.78677

    The source task study defines the timing used to select the two-second late maintenance window before the probe.

  7. doi:10.1016/j.neuroimage.2015.12.012

    Cited as established work on crossvalidated pattern distances and reduction of noise bias; the present study applies the separate-session product idea to matched SEEG contact effects.

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