sciscape Publications
← All publications

The estimated mean change in hippocampal theta load slope across delay halves was 0.118 dB per two letters in 12 SEEG patients

We tested whether hippocampal theta load associations change across a verbal memory delay. We used public OpenNeuro ds004752 version 1.0.1. The first two sessions gave 12 epilepsy patients, 44 matched bipolar contact pairs, and 983 retained trials. The primary outcome compared the first and second halves of the three-second delay. We adjusted for trial order and the preceding error. Each patient had equal weight. The estimated mean late-minus-early load slope was 0.118 dB per two letters. The 95 percent t interval was [-0.258, 0.493] dB. The exact two-sided sign-flip p value was 0.497559. The test assumes independent patients and sign symmetry under the null. It did not detect a nonzero mean change. This result does not establish equal load slopes. Load followed an adaptive rule after errors. The estimates are associations. The package preserves code, spectra, trial features, raw examples, fixed source URLs, full source hashes, and independent checks. All 24 source files passed their snapshot hash checks.

hippocampus · theta power · verbal working memory · SEEG · load association · delay timing

Admitted 4 citing publications

References

3
  1. usesLate bipolar hippocampal theta load slopes had a correlation of 0.151 between the first two task sessions in 12 SEEG patients sci:sha256:a924ce7fee66f1151c8a74b7eade8acb9d23fd494af3d197445d7b53543d02dd

    We used the matched contact rule, pinned source metadata, complete source hashes, and fixed S3 object versions to extract new early and late delay windows. No parent power features entered the new models.

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

    This is the recorded version of OpenNeuro ds004752 analyzed in the publication.

  3. supportsdoi:10.7554/eLife.78677

    The source study documents the task timing and adaptive rule after incorrect responses, which frame the interpretation of the delay-window estimates.

Cited by

4 publications

Public catalog entries on Sciscape.