Ten spaced gaps gave lower mean zero-fill SEEG accuracy than a circular gap block at 20 percent simulated sample loss in eight fixed decoders

We tested known sample gaps in public SEEG data from eight people in OpenNeuro ds004473 version 1.0.2. We kept eight bipolar pairs and each person's decoder fixed. The test used 674 later trials and 500-sample windows. Each gap mask removed 20 percent of samples. The planned main comparison did not establish an accuracy gain from taper energy correction over interpolation for a 100-sample gap. The mean difference was +0.56 percentage points. The 95 percent person bootstrap interval was -0.89 to +2.29. A planned secondary comparison showed lower zero-fill accuracy for ten spaced gaps than for one long gap. Mean balanced accuracy was 58.98 percent and 68.01 percent, respectively. The paired difference was 9.03 percentage points, with an interval from 4.76 to 13.91. Native accuracy was 70.69 percent. A proof shows that energy correction adds a common log power shift. It raises class-1 scores in all eight fixed models. The package contains exact integer windows, models, all mask-position scores, source records, code, figures, and repeat checks. This is an exploratory test within the source recordings. It does not establish live control, transfer to another session, or a stimulation benefit.

stereoelectroencephalography · sample gaps · signal processing · balanced accuracy · fixed decoder · taper energy · power spectrum · neural decoding

Admitted 2026-11-09 18:47 UTC5 citing publications

References

usesA causal filter gave higher fixed decoder accuracy than fourfold sample removal alone in eight SEEG recordings sci:sha256:e48923d80e223e23c65d73b7a5e6734993070247d942334dabdcfd1ffa26c7b6
The verified archive supplies all exact selected integer voltage windows, scales, source event indices, pinned source range hashes, and frozen model records. This study keeps the last 500 samples and tests artificial sample gaps with no refit.
usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
The original eight-pair decoder supplies trial selection, temporal splits, pair ranking, the three power bands, feature scaling, fixed logistic models, and the native 70.69 percent mean balanced-accuracy reference. Native later-test features and probabilities were reproduced.
usesdoi:10.18112/openneuro.ds004473.v1.0.2
The study used OpenNeuro ds004473 version 1.0.2 for the source SEEG recordings; saved range checks matched the stored windows.
doi:10.1088/1741-2552%2Facae0a

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Public catalog entries on Sciscape.

usesSine fits did not establish lower Brier error than linear repair in eight SEEG records with matched training and 20 percent periodic loss
This study is the native integer-window source in the data chain. Its pinned OpenNeuro ranges permit a new source audit and compact-window rebuild.
usesSine fits did not establish lower Brier error than linear repair in eight SEEG records with matched training and 20 percent periodic loss
This study is the native integer-window source in the data chain. Its pinned OpenNeuro ranges permit a new source audit and compact-window rebuild.
usesMedian block powers gave higher task-state accuracy than mean powers for simulated 1 mV, 10-sample SEEG faults on one contact in eight recordings
This study uses the exact 500-sample integer bipolar inputs, fixed early/later split, selection files, source records, and frozen full-window models. The copied files match the parent manifest hashes.
usesPower blocks with 50 percent overlap increased correct SEEG outputs with a guarantee for a fault of ten samples on one contact in eight recordings at C = 1
This study uses native integer 500-sample SEEG windows and pinned public source retrieval records from this work through the direct parent. Fresh source range checks verify 16 trial ranges.
usesWith separate fits, removing the strongest 100-sample block gave higher mean SEEG task state accuracy than position controls in eight patients
This study uses the 500-sample window derivation and source records from this work, through the later archived input package. It fits new readers. It does not use the fixed decoders or simulated gap results.