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A quadratic model reduced mean SEEG spectrum shape error between adjacent windows. Tests used 30 to 100 Hz and a common average reference in 34 patients.

The study compared a line and a quadratic curve in log frequency and log power. It used 3,138 SEEG contacts from 34 patients in OpenNeuro ds004100, version 1.1.3. Each patient had two 30-second source prefixes. Models trained on one 15-second window and predicted the other window's centered spectrum. The main test used a common average reference and 30 to 100 Hz. It omitted 57 to 63 Hz. The mean patient error reduction was 8.3 percent. Its 95 percent patient bootstrap interval was 6.3 to 10.3 percent. All 34 patients had lower mean error with the curve. Independent regression checked all model losses. An independent EDF reader reproduced eight source prefixes. Code, exact spectra, provenance, results, and reproduction instructions are preserved. The evidence applies to observed spectrum shape. It does not identify a neural cause of curvature.

SEEG · spectrum prediction · spectral shape · quadratic model · Welch power · signal processing

Admitted 4 citing publications

References

4
  1. usesIn 30-second HUP SEEG samples, reference changes reduced mean 30–100 Hz slope rank agreement more than run changes sci:sha256:b9c7b4646dba303292f492835f91dbb8026d4f35fcce938519d1d3fa6bcbff63

    Used all 34 saved spectrum files, source metadata, quality decisions, and three source scripts. These inputs enabled a new test of spectrum shape prediction between time windows.

  2. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    The analyzed spectra derive from OpenNeuro ds004100 version 1.1.3; the saved dataset metadata records this version and CC0 license.

  3. doi:10.1038/s41593-020-00744-x
  4. doi:10.1109/TNSRE.2025.3649641

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