The mean share of groups of five commands within an offline 45 degree phase limit was 4.35 percent in seven SEEG rest records at a 50 ms delay and a 100 ms minimum gap
We tested complete groups of five simulated phase commands in later rest data from seven people with epilepsy. We used public SEEG data from OpenNeuro ds006065 version 1.0.0 and fixed early models. The delivery delay was 50 ms. The minimum command gap was 100 ms. The test had 13,819 complete groups in 112 separate streams. The equal person mean was 51.28 percent for individual hits and 4.35 percent for groups with all five hits. Random order with each stream's hit count gave an expected 4.36 percent. The mean difference was -0.014 percentage points. Its descriptive 95 percent interval was -0.492 to +0.528 points. The test found no clear mean order effect. We provide exact count formulas, tight limits, three figures, command data, source code, and repeat instructions. All seven full source hashes and 38 metadata files passed fresh checks. The reference phase uses future samples. These results test an offline sequence limit. They do not establish future neural prediction or a stimulation benefit.
stereoelectroencephalography · phase command timing · sequence scoring · random-order baseline · brain-computer interface · offline phase reference · signal processing · complete-group success
References
5- usesA fixed learned model raised the share of commands within 45 degrees of target phase from 39.79 to 51.28 percent in offline 50 ms SEEG replay of seven rest records sci:sha256:f95e54eb370bc2e0e49af090e06dc6d39029b2a4542255ccea2520190080d0a9
We used its seven selected voltage files, fixed phase models, reference functions, and command rules. We computed new complete-group scores and exact count baselines.
- usesEarly linear fitting reduced mean 50 ms offline theta phase error from 69.52 to 57.75 degrees in seven SEEG rest recordings sci:sha256:6e0d73f3cfa87fcbac3f6dd9697937e67dc539c31c7ddffb19140640d26f1405
We used its learned forecast fits and equations as inherited through the command publication. All models stayed fixed.
- usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa
We used its early pair selection and pinned source retrieval method as inherited through the source package. Fresh source checks repeated this selection.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Provides the public SEEG records analyzed here; the cited dataset version is 1.0.0.
- supportsdoi:10.1038/s41467-025-59417-7
Describes the source theta-phase stimulation experiment and its one-second minimum interval, which contextualize the separate gap check.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesAn amplitude gate raised the HFO mark share of simulated 6 Hz commands in eight sleep SEEG records
This work informed the wrapped forward phase crossing rule and four alternative target streams. We retained that stream interpretation in the sleep SEEG replay.