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Early frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings

We tested an early frequency estimate for later theta phase forecasts in public SEEG data. We used 28 pairs from seven rest recordings in OpenNeuro ds006065 version 1.0.0. We selected pairs and frequencies in the first minute. We fit phase offsets in the second minute. We tested the next two minutes with a model that uses 0.5 seconds of past voltage. At a 50 ms horizon, mean absolute circular error was 73.00 degrees with a fixed 6 Hz frequency and 69.45 degrees with the early pair frequency. Error decreased in all seven participants. The mean decrease was 3.55 degrees. The descriptive participant bootstrap interval was 2.30 to 4.68 degrees. The phase target uses future samples. The result does not establish accurate stimulation timing or a brain response. The package has the exact input signals, source records, code, model coefficients, result arrays, checks, and figures.

theta phase · phase forecasting · SEEG · intracranial EEG · frequency estimation · signal processing · offline phase reference · brain interfaces

Admitted 55 citing publications

References

3
  1. usesdoi:10.18112/openneuro.ds006065.v1.0.0

    This exact OpenNeuro release supplied the seven rest recordings and recording metadata used in the analysis.

  2. supportsdoi:10.1038/s41467-025-59417-7

    The cited source study reports closed-loop control of human theta activity; this benchmark uses its public rest recordings and does not repeat its stimulation analysis.

  3. doi:10.7554/eLife.68803

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