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A Fourier rule certified 65.5% of offline SEEG theta targets within 45 degrees for timing error up to 10 ms in 21 patients

We tested how timing error changes an offline 4 to 8 Hz phase target. We used 35 public SEEG records from 21 patients with epilepsy. Each input was a four-second pre-stimulation epoch. Timing offsets up to 10 ms changed the target by more than 45 degrees at 1.385% of scored times. This estimate gives equal weight to each patient. A rule based on Fourier coefficients and target amplitude accepted 65.53% of times. The rule proves a continuous timing limit for the exact finite Fourier target. No accepted time failed the grid check. A finer grid gave the same failure counts. A public source rebuild matched all compact input arrays. The package includes code, compact inputs, source hashes, results, proof, and four figures. The result does not measure brain-phase accuracy or stimulation benefit.

SEEG · theta phase · Fourier analysis · timing error · phase target · brain-computer interface · continuous bound · intracranial EEG

Admitted 3 citing publications

References

4
  1. usesAdding adjacent bipolar signals changed offline 4–8 Hz phase targets in 4 s SEEG baselines from 21 patients with fixed contact signs sci:sha256:2c34d102f2f1a73ae4b7672579c48d3015c3114054e1155e4b39dd5356188a16

    Reuses all compact theta inputs, source metadata, retrieval manifest, and extraction code. A fresh public raw rebuild matched these inputs. The earlier contact-combination phase scores are not used. The cohort is shared.

  2. usesNative sample counts give excess correlation calls under an independent phase null in 2-second SEEG beta windows from 21 participants sci:sha256:57eed8340807f9a6c0ee0a20be060749718a0560d83b328d5e823b65095231f9

    The current package retains its BrainVision reader and hash-checked retrieval code through the direct input publication. These files enabled the full public source rebuild.

  3. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    Source dataset, exact release 1.0.0; this release is identified as CC0 in the saved dataset metadata.

  4. doi:10.1016/j.neuroimage.2020.116761

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