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Full correction of the largest 20% of calibration change directions increased mean later SEEG covariance error over uniform scaling in 36 patients with 25 s blocks at 1–80 Hz

We tested a covariance correction in two public interictal SEEG records from each of 36 patients. SEEG means stereoelectroencephalography. Calibration used a 25 s block from each record. A separate later 25 s block from each record gave the test score. The correction used the largest 20% of observed change directions at full strength. The primary band was 1 to 80 Hz. The regularization fraction was 0.01. Mean patient squared error increased by 23.98% over uniform covariance scaling. The 95% patient bootstrap interval for this increase was 14.13% to 33.92%. Error fell in 9 of 36 patients. All nine fixed band and regularization checks had a negative mean reduction. A half-strength correction had a small descriptive gain. The target calibration block alone had a larger descriptive gain. No test score selected the primary model or a reported setting. Fresh checks rebuilt all 72 covariance files from 866,839,040 public raw bytes. All 5,184 scores passed separate numerical and contrast-basis checks. The offline repeat matched all numeric outputs. The package preserves code, data, metadata, source locks, results, and instructions. The evidence applies to short excerpts from this selected epilepsy cohort. It does not establish a cause for signal change or clinical benefit.

stereo-electroencephalography · covariance correction · signal processing · covariance distance · calibration · patient bootstrap

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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

    We used its 72 separate-filter covariance derivatives, raw fixture, fixed cohort and contact layouts, source metadata, pinned ranges, and raw rebuild code. We rebuilt all source derivatives and tested a new held-out spectral correction endpoint.

  2. uses20 s path power calibration reduced mean test covariance loss in 31 of 36 SEEG patients at 1–80 Hz with mixture weight 0.5 sci:sha256:c4fdb4d1528f670f41ef2fa767978682dad59445946844d218ff3218cc4d1bd0

    Its same-cohort power-calibration study informed the fixed comparator set and limitations. Our spectral rule, separate-filter blocks, geometric uniform scaling, and squared covariance distance differ from its causal-filter Gaussian loss experiment.

  3. usesIn 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files sci:sha256:daf70bbdcc88f893fea25fa9870f5621a6fd8289ee4133a9ec263f83268cd815

    Its measured covariance drift motivated the correction question. We use its contact-metric regularization and generalized-eigenvalue distance. The new result tests learned correction on later blocks and does not repeat its within-file versus between-file drift endpoint.

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

    The study used OpenNeuro ds004100 version 1.1.3; the saved version-specific metadata records CC0.

  5. doi:10.1162/imag_a_00040
  6. doi:10.1016/j.neuroimage.2021.118271

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