Early delay power gave no mean recall forecast gain in 13 SEEG patients excluded from fitting under assumed trial order
We tested recall error forecasts in public SEEG data from 13 patients. Each test patient was excluded from model fitting. Early delay power changed mean Brier loss from 0.20500 to 0.20515. The mean gain was -0.000149. Its descriptive 95 percent patient interval was -0.006370 to 0.006626. Six patients had a gain. Models fitted on each patient's earlier trials had lower mean loss, 0.17966. The test assumes that source trial IDs give task order. Past outcomes were available as forecast inputs. The study gives no clear evidence of an added mean gain from these power changes. The package preserves code, predictions, source hashes, figures, and a complete signal retrieval recipe.
SEEG · working memory · recall forecast · Brier loss · patient exclusion · intracranial EEG · signal power
References
4- usesEarly delay SEEG power gave no mean Brier gain in later recall forecasts for 13 patients under source trial order sci:sha256:adbcbe06fcce87132c9633b5137a24af646e5c49afc3ac2d09469a1e05618474
We used its power extraction method and matched trial features through publication a5de5313-05f8-403a-ad08-2ef65adf8795. We rebuilt the features from all released signal files and tested their use in forecasts for patients excluded from fitting.
- usesEarly beta coupling did not lower mean recall forecast error in 13 SEEG patients under assumed source trial order sci:sha256:ab79ff900f0f1e4474c08e83788e4069c615066b1ea1a481e13911aa967ebebc
This publication supplied power features, source metadata, a source manifest, and extraction code. We checked the raw signal hashes, rebuilt the features, and added a test that excludes each target patient from fitting.
- usesdoi:10.18112/openneuro.ds006136.v1.0.1
This is the exact OpenNeuro ds006136 version used for the processed SEEG signals and trial metadata.
- doi:10.1016/j.neuroimage.2026.121718
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