Spectrum controls had a mean 50 ms offline phase error of 68.59 degrees in seven SEEG rest recordings with fixed early readouts and frequencies
We tested a past-only theta phase forecast on 28 selected SEEG pairs from seven patients. The public data came from OpenNeuro ds006065 version 1.0.0. Readouts and frequencies were fixed from early data. We made 199 controls per patient. Each control retained the block Fourier magnitudes and cross spectra. At 50 ms, mean absolute phase error was 69.45 degrees for real signals and 68.59 degrees for controls. The real-minus-control difference was +0.85 degrees. Its patient bootstrap 95% interval was -0.65 to +2.83 degrees. This test did not show lower error for real signals. A 60 s block check gave the same pattern. Shuffled targets gave 89.99 degrees. Thus, the spectrum control gave a much lower error than the shuffle control. The target used future samples. These results apply to this offline benchmark and do not measure stimulation benefit. All seven full source hashes passed. The package preserves exact input signals, code, figures, and checks.
SEEG · theta phase · phase forecasting · Fourier surrogate · spectrum controls · signal processing · intracranial EEG
References
4- Early frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa
[Legacy relation: reproduces] An independent convolution implementation reproduced all 14 patient-and-method mean 50 ms errors within 1.14e-13 degrees. Full source hashes and exact extraction also passed.
- 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 exact SEEG input traces, fixed early readouts and frequencies, source metadata, and phase benchmark code. They define the conditional test.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
This is the version-pinned OpenNeuro dataset used for the seven rest recordings; its exact version and license are recorded in the saved source metadata.
- doi:10.1038/s41467-025-59417-7
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesLearning reduced mean 50 ms offline theta phase error by 11.25 degrees in spectrum controls from seven SEEG rest recordings
This study used its question and shared Fourier phase control construction. That earlier study tested a fixed sinusoid method. The new study fits the sinusoid and learned method again for every control, then compares the gains from learning.
- usesRefitted spectrum controls gave a mean 50 ms phase error of 56.10 degrees in seven SEEG rest records with a 100 ms reader and a 2 s offline reference
This fixed sinusoid study motivated the spectrum controls and equal-block-duration check. The present study fits learned readers again on each control.