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Adding 1 to 30 Hz maps to a fixed ridge model reduced 30 to 80 Hz SEEG residual error by 3.8 percent from run 1 to run 2 in 36 epilepsy patients

We tested whether a low-band SEEG map adds prediction after a high-band map was used. We used public data from 36 epilepsy patients in OpenNeuro ds004100 version 1.1.3. Each map used correlations between bipolar channels on different electrode shafts. We removed row and column means from each shaft pair map. We fit a fixed ridge model with two blocks from run 1 and tested it on run 2. Adding the 1 to 30 Hz map reduced mean 30 to 80 Hz residual error by 3.83 percent. Error fell in 33 of 36 patients. The mean gain was 2.03e-5 in squared correlation units. Its 95 percent patient bootstrap interval was 1.03e-5 to 3.51e-5. Intervals included zero when file order was reversed or shared contacts were removed. The interval also included zero when the low band was the target. A check added after the fixed test gave 2.96 percent less error than duplicated high-band predictors. All 72 covariance inputs were rebuilt from pinned public EDF ranges with exact array agreement. The package includes inputs, code, model predictions, scores, source pins, and repeat instructions. The result concerns recorded residual maps in this cohort. It does not show a neural cause or clinical benefit.

SEEG · stereoelectroencephalography · ridge regression · correlation maps · frequency bands · epilepsy

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References

6
  1. usesPair residuals lowered 1–80 Hz bipolar correlation error beyond additive channel means in 36 patients with two SEEG files sci:sha256:ce51f38c298b1cfa6495cbc36057816f212181c31d9aa3b61ba055b1cc86f8dd

    Its signed residual method informed the additive channel-mean projection baseline. We applied this projection to separate 25-second block maps and tested added prediction from another band.

  2. usesBlock variance shrinkage reduced mean squared error for 1–80 Hz bipolar SEEG correlations between shafts in separate files from 36 patients sci:sha256:fd6b98927a0cd6fab67e659b3dab9f8d5cba3aea96f3d1603f48ed3aa09e97a9

    We used its 72 unshrunk contact covariance archives, layouts, source metadata, and pinned EDF range recipe. We rebuilt every input from public ranges and checked exact array agreement.

  3. usesIn 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files sci:sha256:f663d71b5fe518a4b49eafc4b56264ce4f5dc80dad0e319618842dac64c731a5

    We used its EDF header parser through the inherited public range retrieval code. Its source code and license notices are preserved.

  4. usesSEEG modes learned in the target band captured more scaled covariance between shafts in separate files from 36 epilepsy patients at 1–30 and 30–80 Hz sci:sha256:c7d0d78b39c231d770b52d4a9725d271150234e9665d80a63666a928ca72967c

    Its result on maps across frequency bands informed the new prediction question. The fixed plan records that this result was known before fitting.

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

    Source dataset used for the 36-patient analysis; the publication identifies version 1.1.3 and the recorded dataset description assigns CC0.

  6. doi:10.1093/braincomms%2Ffcae165

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