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q-bio.NC · Neurons and Cognition

Adding beta phase changed SEEG key side prediction by -0.19 percentage points in a fixed model tested on later trials from eight patients

We tested if beta phase improves response key side prediction beyond beta power in public SEEG data. We used OpenNeuro ds004473, version 1.0.2, with eight patients and 64 sampled trials per patient. A fixed ridge model used all 819 adjacent contact pairs. The first 32 trials trained each model. The last 32 trials tested it. Mean response window balanced accuracy was 48.72% for power and 48.53% for power with phase. The mean paired change was -0.19 percentage points. Its descriptive 95% patient bootstrap interval was -5.06 to +4.87 points. The exact two sided sign test gave p = 0.984375. It assumes independent patients and sign symmetry under the null. The combined model conditional label test gave p = 0.6943. It assumes exchangeable labels within the defined time and instruction groups. Both Holm adjusted p values were 1.0. The test did not detect a phase benefit. It does not show absence or equivalence. This is an exploratory secondary analysis of reused trials. The response window includes signal before and after keypress. The package gives a phase rotation invariant model, code, inputs, all null draws, and source recipes. All 1024 fresh raw ranges passed their saved hashes. The rebuild reproduced all 2,647,680 complex values exactly. Numerical checks and a separate repeat analysis passed.

stereoelectroencephalography · beta oscillations · phase · power · key prediction · ridge regression · patient bootstrap · label permutation

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References

7
  1. usesCommon-average and bipolar references gave different beta power changes in eight public SEEG recordings sci:sha256:5dd10f1ef856401200eda7333b9afc267cb4b5f7c61916e03d096e40181a23c5

    We used the MIT EDF retrieval, contact selection, and trial selection helper through the later phase coefficient package. The helper enabled the fresh source rebuild.

  2. usesA fixed SEEG decoder identified key side before keypresses in one of eight patients under conditional label tests sci:sha256:b841775f367347abb4b0218e7a0897326cfc205896800a138e669f0e8e9b2263

    We read the earlier power decoder result to choose a separate paired power and phase question. Its windows, sample, and split differ. We did not reuse its predictions or treat its scores as a direct comparison.

  3. usesThe mean beta decrease was smaller after a log-linear spectral adjustment in separate trials from eight public SEEG recordings sci:sha256:aa8661826435b4d67f497993abb63ecd98476ef8be93f6a4f1ef8f9e2872c2aa

    The later phase coefficient package used this trial and signal extraction lineage. We retained its sampled trial design through the phase package.

  4. usesSEEG power before keypresses identified response keys across timing instructions in one of eight patients under conditional tests sci:sha256:67a8fba395f313fadef46758f6f68a16c2b9851b79b7e83d194e70fc3d2a0963

    The earlier power timing transfer result informed the use of speed instruction groups and a fixed time test. The present phase model uses a different sample, window, and comparison.

  5. usesThe beta phase test did not reject zero at selected SEEG pairs in eight patients under patient independence and sign symmetry sci:sha256:d2ef61bbf208825b3e22a379f54ded6118d5e7da4f5c7a90eeabed6425a5f729

    We used the complex Fourier coefficients, sampled trial labels, source pins, and extraction recipe. We tested key prediction with all pairs. We rebuilt all coefficients from fresh raw ranges. This is a secondary analysis of the same patients and trials.

  6. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    Source data and task metadata from OpenNeuro ds004473 version 1.0.2.

  7. doi:10.1088/1741-2552%2Facae0a

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