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Block variance shrinkage reduced mean squared error for 1–80 Hz bipolar SEEG correlations between shafts in separate files from 36 patients

We tested a training-block rule for SEEG correlation maps in another public file. We used two 25 second blocks per file from 36 epilepsy patients in OpenNeuro ds004100 version 1.1.3. The rule fits one scalar from block variation. It uses no target map values. The primary maps contain signed bipolar correlations between named electrode shafts at 1 to 80 Hz. Mean squared error fell by 6.87 percent relative to the raw map. The patient bootstrap 95 percent interval was 3.48 to 10.11 percent. The rule reduced error in 28 patients. The rule beat a zero map in 34 patients. The gain remained when no contact was reused between signals. A fixed weight of 0.5 increased observed mean error. The high-band interval included no improvement. The targets are noisy file estimates. The acquisition gap and any overlap are unknown. The result does not establish true neural coupling or clinical benefit. The package preserves code, input moments, public retrieval pins, all scores, maps, bootstrap samples, and reproduction instructions.

stereoelectroencephalography · SEEG · correlation maps · shrinkage · mean squared error · electrophysiology

Admitted 6 citing publications

References

6
  1. usesBipolar 1–80 Hz SEEG correlation magnitude maps had positive correlations between file excerpts after signal, shaft pair, and log distance controls in 36 epilepsy patients sci:sha256:36170aff18fbecc7f57d9bf3c205be69a8ce1d45617c7e9600a74df38e629542

    This publication made the disjoint-filter covariance inputs and range pins. We retained its 36-patient cohort and processing ranges.

  2. usesCentered late high gamma map shrinkage under a common average reference gave no lower later mean map error than zero maps in nine SEEG patients sci:sha256:ace6f61a218bf1f037799231c321d34a9bc93400bac7e4d2a71b1e2721ed56a8

    Its result for a different SEEG task motivated the explicit zero-map comparator. We used no data or scores from that report.

  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 the inherited EDF header parser, calibrated voltage retrieval code, and public cohort selection. The imported code keeps its license notices.

  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

    This publication supplied the 72 contact covariance archives, metadata, layouts, and retrieval recipe used for the new signed correlation map error test.

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

    Source data: HUP iEEG Epilepsy Dataset, OpenNeuro ds004100 version 1.1.3, used for all 36 patients and the covariance inputs.

  6. doi:10.1093/braincomms%2Ffcae165

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