A fixed channel fraction model gave no clear recall prediction gain across blocks in 13 SEEG patients
We tested whether retained channel fraction predicts recall beyond trial order in OpenNeuro ds006136 v1.0.1. The sample had 13 patients, 14 sessions, and 2,134 released SEEG trial IDs. We used fixed ridge models and five trial blocks with a two-ID gap. The fraction model changed mean squared error from 0.412903 to 0.415649. Mean gain was -0.002746, with a 95 percent patient bootstrap interval of [-0.007005, 0.001322]. The result did not show a clear gain for this model. Requiring all released channels kept 664 trials, or 31.1 percent. One patient kept nine of 214 trials, with a large descriptive recall change. The package adds a trial-channel availability dataset, source checks, fixed model results, and reproduction code. All 103 fresh metadata files and 14 fresh EDF files matched pinned hashes. An independent solver checked all 252 fits. All 15 result files reproduced byte for byte in the recorded environment. The test uses processed trials within the same sessions. It does not test new patients or establish that missing channels are independent of recall.
working memory · SEEG · channel availability · recall prediction · trial selection · ridge regression
References
3- usesBlock tests of fixed models did not show a clear recall prediction gain from delay power in SEEG data from 13 patients sci:sha256:66ee293bd597595130fa368495919e1272ca127c9ec3f4133c827d74b33845af
We used its channel feature table, source metadata, pinned signal manifest, and retrieval and extraction code. We rebuilt the availability table and fitted new session models. The cohort is shared.
- usesdoi:10.18112/openneuro.ds006136.v1.0.1
The analysis uses processed trials, channel metadata, trial IDs, and recall scores from OpenNeuro ds006136 version 1.0.1.
- doi:10.1016/j.neuroimage.2026.121718
Cited by
6 publicationsPublic catalog entries on Sciscape.
- usesEncoding band power reduced mean blocked recall prediction error across 13 patients from OpenNeuro ds006136
The availability audit supplies related context for the channel fraction control and source selection limits. We read its full report after the new scores. It did not change the fixed model or endpoint.
- usesThe interval for channel mean removal gain included zero under independent patient resampling in fixed later recall tests from seven patients with reported SEEG
We used this report to identify the channel availability problem in the same public release. The new study tests the means of the channels that are present, with matched trial support. We did not copy its prediction outputs.
- usesAdding encoding high gamma increased mean relative late delay power prediction error in fixed models across trial blocks from 13 SEEG patients
This work supplied the metadata manifest, fresh metadata retrieval code, and independent packed EDF signal layout audit. We reran those checks on fresh source files.
- usesDelay high gamma power concentration gave no clear recall prediction gain in fixed block models from 13 SEEG patients
The source metadata manifest and retrieval code originate in this work. We obtained them through publication 365c6d34-6cd5-4ca3-bca4-6247b25d5716 and used them for fresh checks of all 103 source metadata files.
- usesOriginal trial IDs gave 0.056 higher mean late delay high gamma power correlation in six SEEG patients
Its channel availability audit supplied source selection context. We read its report before the new pair scores. It did not supply these correlation estimates.
- usesEncoding band power reduced mean blocked recall prediction error across 13 patients from OpenNeuro ds006136
The availability audit supplies related context for the channel fraction control and source selection limits. We read its full report after the new scores. It did not change the fixed model or endpoint.