Fixed SEEG commands showed no clear 500 ms timing gain over local delay swaps in eight recordings

We tested whether fixed continuous SEEG commands supplied precise timing for recorded key events. We used eight patients in OpenNeuro ds004473 version 1.0.2 and 793 eligible test responses. The primary hit window covered the 500 samples at or before each response. Commands hit 23.59% of windows under equal patient weights. Local delay swaps predicted 22.61%. These swaps kept go cues, task condition, cue side, pressed key, and nearby delay values. The mean gain was 0.98 percentage points. The descriptive 95% patient bootstrap interval was -0.67 to +3.20 points. The planned one-sided conditional test gave p = 0.1347 with 9,999 assignments. A whole-scan circular time shift predicted 9.01%, with p = 0.0001. Thus, the timing reference changed the evidence. The local test assumes exchangeable delay assignments within its groups. The result does not prove equal hit rates or an absence of response information. Patient 10 had the largest positive gain. Four patients had negative gains. Shorter hit windows, larger local sets, and omission of patient 11 gave similar small mean gains. This work supplies a timing benchmark for BCI readouts. It does not test stimulation. The package includes compact data, code, three figures, all planned results, source versions, byte-range hashes, and repeat instructions. A second numerical run matched exactly. Eight small fresh EDF checks and eleven fresh metadata checks passed.

stereo-EEG · brain-computer interface · response timing · conditional permutation · neural decoding

Admitted 2026-11-09 19:12 UTC4 citing publications

References

usesThree consecutive scores gave no clear pre-response detection gain in eight SEEG streams at an early target of one command per eligible minute sci:sha256:0b8e19ef6848ab50266578c54c030f4887da0418334c3bdb63195df9f582dc33
Used its complete continuous features, original frozen models and scores, source records, and retrieval code. The new analysis tests local response delays. It does not use its later dwell thresholds.
usesA fixed SEEG decoder separated windows before keypress from rest on later trials in eight patients sci:sha256:bd6c59023a95ca7dc23d6549123fb8e0b3724d75412db49c1e004ce64fc1dd57
Used its source event feature extraction and frozen first-40% ridge model design, eight selected bipolar pairs, and rest99 threshold.
usesAt a zero threshold, eight-pair SEEG decoders gave a mean of 36.7 outside-guard triggers per eligible minute in eight later task scans sci:sha256:22495a59283fcfea65785cbf2a7a410c3a81dc75e721320a08a5ed114e14bd43
Used the original complete final-40% continuous SEEG test design and fixed command rule. Added timing controls that keep local go cues.
usesSEEG key decoding from the first fast block had a mean AUC of 0.54 in later slow blocks in six patients sci:sha256:6407f4f45a2db401fef737a5f946c2656d5af25ba66dbcab30e4417db2c4fc72
Used its reported patient 11 key timing problem to plan a sensitivity test that omits that patient. Kept recorded patient 11 events in the main analysis.
usesEight public SEEG recordings contain 33 trials with opposite cue and key labels after fixed signal checks sci:sha256:c34131cf98ace6df622cbef2ed6db5656ea040b65d2ec737cda6429222533319
Used its preserved public behavior files to map fixation samples to source trial numbers, task conditions, cue sides, and pressed keys. Its alternative feature arrays were not used.
usesdoi:10.18112/openneuro.ds004473.v1.0.2
Source SEEG and behavior dataset, version 1.0.2; the saved dataset description records this exact DOI and CC0 license.
doi:10.1088/1741-2552%2Facae0a
doi:10.1152/jn.00633.2011

Cited by

4 publications

Public catalog entries on Sciscape.

usesFixed models with past SEEG power gave no clear Brier score gain over cue inputs for 100 ms keypress forecasts in eight later task segments
Its local delay-swap result motivated an explicit cue-clock forecast baseline. The present test fits new probability models and compares later Brier scores, rather than repeating its command permutation test.
usesAn expanded task mask excluded 625 of 958 unmatched SEEG commands in eight scans with fixed rest99 decoders and 500-sample matching
Used its local response-delay control result to limit interpretation of timing matches on reused command streams. The current study gives output counts and does not infer selective neural intent from those matches.
usesA fixed SEEG score correction increased mean test loss for 100 ms key forecasts in eight cued task recordings
We used its behavior logs to retain registered key presses and define the known task inputs. Its local-delay timing result was known before the new plan.
usesKnown response times gave mean test gains below 0.02% of baseline loss in linear SEEG power models for eight people
Its fixed-command timing result helped motivate a delay-shuffle control. The present test refits power models and does not test fixed commands.