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Removing six high-energy seconds gave mixed gains against random removal for calibrated 1–80 Hz SEEG maps in 36 patients

Energy selection showed no clear gain after calibration in these 36 patients. We removed the three highest-energy seconds from each half of a 60-second SEEG interval. The control removed three seconds per half at random. The test used two files for each of 36 patients in OpenNeuro ds004100 version 1.1.3. The target was the other file's unmasked 1 to 80 Hz correlation map. Only links between different electrode shafts were scored. The mean random loss was 0.0042394511. The mean selected loss was 0.0042429853. The mean gain was -3.5342559e-06; its descriptive 95 percent patient bootstrap interval was [-7.3154029e-05, 6.8530383e-05]. 19 of 36 patients had lower selected loss. This is a test of prediction of a measured map. It does not show that removed samples were artifacts or that clinical decisions improve. The package gives code, source versions, range hashes, saved maps, patient results, and repeat instructions.

stereo-electroencephalography · SEEG · epilepsy · correlation maps · time removal · signal preprocessing · prediction · patient bootstrap

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References

3
  1. usesClipping at three robust scale units reduced mean calibrated prediction error for recorded 1–80 Hz SEEG correlation maps in 36 patients sci:sha256:e5ea7565aa5f4d85af7db2951c532a7e132c6982a7a6d7acdeb6bac543398c29

    The pinned source recipe, metadata, decoder, and calibration context enabled fresh retrieval and the new time-removal comparison. Prior prediction maps were not used.

  2. usesOne second beta power averaging retained shared contact correlation in independent stationary proper complex Gaussian models fitted to 36 SEEG patients sci:sha256:588f4ae1d7299099a824e145e72910deeef2a5162a2f91e6e764e00284846b98

    The EDF decoder and original retrieval code were copied through publication 9379eca1-07c1-4577-9c93-2a0da823142d. These functions enabled maps from verified raw ranges.

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

    The study analyzed SEEG recordings from OpenNeuro ds004100 version 1.1.3.

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