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Gaussian controls gave a 20 percent rejection rate for one second shared bipolar beta power under independent contact rotations in 36 SEEG patients

Gaussian contact controls rejected 20.42% of synthetic null observations in the primary one second beta power test, against a nominal rate of 5%; matching contact rotation controls rejected 4.90%. The benchmark used 216 paths from 72 public SEEG files with 36 patient identifiers. Fourier phase controls rejected 20.90%. The Gaussian excess over rotations was 15.51 percentage points (descriptive 95% patient bootstrap interval 11.76 to 19.46), positive in all 36 patient summaries and 182 of 216 paths. An independent seed repeat gave 20.00% for Gaussian controls and 4.95% for rotations. These findings describe errors under a specified synthetic model with independent contact processes and fixed recorded contact patterns. They do not estimate false neural connections, establish that rotations model brain activity, or support clinical prediction. The analysis uses periodic 60 second extracts on a 64 Hz grid from OpenNeuro ds004100 version 1.1.3; the archived participant table lacks HUP151, and no clinical outcome field was used.

stereoelectroencephalography · SEEG · surrogate data · power correlation · finite-sample calibration · null model · contact rotation · Gaussian controls · Fourier phase randomization · epilepsy dataset

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  1. usesIndependent contact rotations gave higher mean one-second beta power correlations between bipolar signals that share a contact than Gaussian models in 36 SEEG patients sci:sha256:4fe5dccbd93f47c3044f1566918d60131824145f5d49a1d915e9c8a76c76b39f

    This study uses the fixed 36 patient cohort, contact layouts, pinned raw range locks, archived source metadata, and MIT EDF reader. It extends population power moment calculations with finite record test rejection rates. New coefficients and simulations were computed from the pinned public raw bytes.

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

    The analysis used interictal SEEG recordings from OpenNeuro ds004100 version 1.1.3; the pinned dataset metadata records this exact DOI and CC0 license.

  3. doi:10.3389/fnins.2020.577574
  4. doi:10.1016/0167-2789(92)90102-S

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