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Replacing input beyond 50 ms with an early mean changed 34.7% of 2 s FIR 4–10 Hz phase labels by more than 45 degrees in seven SEEG rest records

We tested how later input changes a fixed offline phase label in seven public SEEG rest records from OpenNeuro ds006065 version 1.0.0. Each person supplied one bipolar pair and 2,000 target times. The main reference was a centered 2 s complex FIR filter with a nominal 4–10 Hz band. We kept input through 50 ms after each target and replaced later samples with the mean from 2–60 s of the same record. This changed 4,859 of 14,000 labels by more than 45 degrees (34.7%). The descriptive 95% person bootstrap interval was 25.3–46.6%. The mean absolute change was 44.7 degrees. Last-value and reflection extensions gave rates of 17.9% and 27.0%. The archive contains the input, fixed plan, source recipe, exact complex outputs, code, tables, and four figures. A fresh retrieval matched all seven source portions. A repeat matched all 147 saved arrays and six score or settings files. This is a reference-input audit. It does not measure biological phase truth, bound optimal causal prediction error, or test stimulation benefit.

SEEG · phase estimation · finite impulse response filter · causal signal processing · brain-computer interface · input dependence · intracranial EEG

Admitted 5 citing publications

References

4
  1. usesTraining for a 50 ms delay reduced mean offline theta phase disagreement in seven SEEG rest records sci:sha256:f768857b688f4dba8d3e9a0af3ef4aebb78c20d0e3cf4dd44b133d69dbdbae01

    We reused the first 180 s of seven SEEG rest records, fixed anatomical contact pairs, source manifest, metadata, audit byte ranges, retrieval code, source-check code, and MIT code license. These inputs enabled a new fixed-cohort audit of how offline FIR phase labels depend on input after a stated cutoff.

  2. usesdoi:10.18112/openneuro.ds006065.v1.0.0

    The analysis uses the first 180 s of seven SEEG rest records and associated metadata from this exact dataset version.

  3. doi:10.1038/s41467-025-59417-7

    This is the source experiment and dataset context.

  4. doi:10.1016/j.neuroimage.2020.116761

    Prior work on offline reference phase and amplitude in EEG provides background for the phase-estimation problem.

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