Early frontal power did not show a mean forecast gain for later temporal gamma in ten SEEG patients with a fixed ridge reader and assumed trial order

We tested whether early frontal SEEG power improved a forecast of later temporal gamma power. We used OpenNeuro ds006136 v1.0.1. Ten patients had 448 trials with all released channels present. The first 60 percent of source trial IDs supplied 265 training trials. The remaining 183 trials supplied the test. This split assumes that source IDs give task order. A fixed ridge reader used local temporal power, frontal fixation power, and trial ID. We then added early frontal beta and gamma power. The mean error gain was -0.048 in units of training target variance. The 95 percent patient resampling interval was -0.392 to 0.239. Five patients gained and five lost. The training target mean gave lower mean error than the fitted readers. These results do not establish a gain from the added inputs with this reader. They do not establish that frontal signals lack useful information. The package preserves exact digital signal windows, source hashes, code, forecasts, and three figures. An independent calculation and a clean numerical replay passed. Prior trial selection, the small clinical sample, and source processing limit use in a live brain interface. No stimulation was tested.

stereoelectroencephalography · working memory · gamma power · forecasting · ridge regression · cross-validation

Admitted 2026-11-09 15:30 UTC1 citing publication

References

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 audited EDF reader, retrieval code, source manifest, and preserved source metadata. Fresh public EDF files gave the same three extraction files byte for byte. We then tested early frontal inputs for later temporal gamma forecasts on complete matched trials. This is another target on the same patients. We did not repeat its recall result.
usesdoi:10.18112/openneuro.ds006136.v1.0.1
The study used SEEG data from this exact OpenNeuro dataset version.
doi:10.1016/j.neuroimage.2026.121718

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usesConstant forecasts gave lower mean error than gamma and trial trend forecasts at a one second gap in 13 SEEG patients with assumed trial order
We reused its pinned source metadata, source hash manifest, retrieval code, and EDF reader. We read its prior forecast result. We extracted new windows for every released channel and tested within-channel forecasts at four gaps.