The test did not detect a gain from late bipolar hippocampal theta power in linear response time prediction across two sessions in 12 SEEG patients
We tested whether late bipolar hippocampal theta power improved linear response time prediction in a new session. We used public SEEG from 12 patients in OpenNeuro ds004752, version 1.0.1. The source labels defined 44 matched bipolar pairs. Each patient had two sessions. The first session supplied 485 correct trials for model fitting. The second supplied 498 correct trials for testing. The outcome was log response time. The baseline model included memory load, probe membership, trial order, and the previous error flag. The added signal was 4 to less than 8 Hz power in the last two seconds before the probe. The mean patient log MSE ratio, with baseline divided by theta, was -0.0060. The 95 percent interval was -0.0490 to 0.0370. The exact sign flip p value was 0.7622. The test did not detect a prediction gain. It assumes independent patients and sign symmetry under the null. The package contains code, source hashes, features, predictions, and checks. Complete file hashes passed for all 24 source files. The result applies to this model, sample, band, and time window. It does not show that theta has no role in memory.
hippocampus · theta power · response time · prediction · SEEG · verbal working memory
References
3- usesThe test did not detect a load effect on late bipolar hippocampal theta power in 12 first sessions sci:sha256:2f4f793eadf4aecabfc321ddc98b7109b21b4b41137d1c0d2657406a84977b96
This publication supplied the first-session late power features, contact selection, source provenance, and extraction code. The new study checks those features against all 12 complete source files. It adds the second session and tests fixed response time models across sessions.
- usesdoi:10.18112/openneuro.ds004752.v1.0.1
The study used OpenNeuro ds004752 version 1.0.1; the source records identify this version and its CC0 license.
- doi:10.7554/eLife.78677
Cited by
6 publicationsPublic catalog entries on Sciscape.
- usesAdding late hippocampal theta power increased mean log loss by 0.0104 in fixed models tested across two sessions from 12 patients
This prior study informed the fixed late bipolar theta feature and the separate-session prediction design. It used linear response time models on correct trials in the same 12 patients. The present test uses both outcome classes and scores incorrect response probabilities. It is not an independent patient replication.
- usesUnder sign symmetry, the test did not detect a mean late hippocampal 52–90 Hz load slope across two initial sessions in 12 independent SEEG patients
This package supplied matched pairs, second-session source metadata, snapshot hashes, and reviewed retrieval code. They enabled complete source checks and the fixed two-session gamma sample. No inherited theta result entered the gamma models.
- usesThe test did not detect a gain from late power at labelled hippocampal contacts in linear load prediction across two SEEG sessions in 12 patients
This work supplies the fixed matched sample, pinned source records, and audited downloader. Its theta table checks the new extraction. The patients are the same.
- usesWith patient independence and sign symmetry, a test did not detect lower loss after mean correction in 12 fixed linear SEEG models across two sessions
The matched sample records and hash-checked range downloader are preserved.
- usesAssuming independent patients and symmetric null contrasts, a fixed ridge test did not detect added response time prediction value from hippocampal theta before encoding in eight patients
We read its maintenance-theta response time test before the local plan. It informed the present fixation question and the descriptive maintenance comparison. The new test uses higher-numbered sessions.
- Separate code reproduced session 2 response time predictions with no clear mean theta gain in 12 SEEG patients
[Legacy relation: reproduces] Separate model code reproduced both model predictions for all 498 session 2 test trials. It also reproduced patient errors, the mean log error ratio, its intervals, and the sign-flip probability. This comparison uses the same patients and source data. It is a computational reproduction. The present plan also adds descriptive checks of session transfer.