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Mean ordinal time asymmetry exceeded IAAFT controls in 60 s SEEG windows from two contacts per patient for 36 HUP patients under the supplied reference

We tested three-sample ordinal time asymmetry in public interictal SEEG from 36 HUP patients. Each patient supplied two selected contacts from each of two files. We used 60 s windows at 100 Hz and 20 ms sample spacing. IAAFT controls preserved the sample values exactly and the Fourier magnitudes approximately. The equal-patient mean observed-minus-control divergence was 0.000242927 natural-log units. Its 95 percent patient bootstrap interval was 0.000120043 to 0.000413446. This interval assumes independent, exchangeable patients. The later window also had a positive mean difference. At the primary window, score agreement between files was weak. A linear simulation with skewed inputs also exceeded the controls. The result does not prove nonlinear neural dynamics or a stable clinical measure. The package preserves native data, source pins, code, SEEG control counts, checks, figures, and reproduction instructions.

ordinal patterns · time asymmetry · SEEG · stereoelectroencephalography · IAAFT · surrogate data · epilepsy · time reversal

Admitted 4 citing publications

References

6
  1. usesPaired 300-second SEEG files from 36 HUP patients shared no exact digital segment of at least one second on both selected contacts sci:sha256:692a0c5e11ca318443298a1f9d5379a96dd843d5d1c48afd38335ca90c8d9df5

    Use its full native digital SEEG traces, source pins, metadata, hashes, and retrieval code to test ordinal time asymmetry.

  2. usesPhase-controlled ordinal regularity has mean onset AUC 0.480 under the supplied reference in two 20 s SEEG segments from each of 36 HUP patients sci:sha256:72dfb7892effc558f504661bf5e92f56eaa7f76ae15031e06008194a020b9e0b

    Use its result on the same cohort as background for a separate time-reversal question with amplitude-preserving controls. No data or code from that analysis were used.

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

    The analyzed SEEG files and metadata are from OpenNeuro ds004100 version 1.1.3.

  4. doi:10.1063/1.5055855
  5. doi:10.1103/PhysRevLett.77.635
  6. doi:10.3389/fphys.2019.01619

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