A variance rule reduced mean squared error against full copying for bipolar gamma residual maps between two seizure files in each of 28 SEEG patients
We tested transfer of early gamma maps in public SEEG data from OpenNeuro ds004100 version 1.1.3. We reused two seizure files per patient and 3,042 bipolar pairs from 28 patients. A fixed rule used variation in five donor windows to set one scalar. The rule used target baseline, but no target early power values. Mean squared error fell from 10.226 to 7.878 dB squared against full copying. The mean gain was 2.347, with a descriptive 95 percent patient bootstrap interval of 0.434 to 5.820. Error fell in 27 patients. Population intervals require independent, exchangeable patients. The mean gain over zero was 0.730, with an interval of -1.040 to 2.366. Thus the test did not establish a mean benefit over zero. Half copying had a lower observed mean error of 7.216. One patient supplied 71.2 percent of the total gain against full copying. Fresh pinned public byte checks matched all 757,770 input power values within the stated tolerance. Independent calculations and an exact analysis repeat passed. The package preserves inputs, code, predictions, patient scores, source versions, hashes, random draws, figures, and repeat instructions. The result concerns projected maps in a reused epilepsy cohort. It does not establish clinical accuracy.
stereoelectroencephalography · seizure · gamma power · residual maps · map prediction · mean squared error · variance estimation · jackknife · OpenNeuro
References
4- usesEarly bipolar gamma change maps had more repeat agreement than baseline change maps after power and position controls in two seizure files per patient for 28 SEEG patients sci:sha256:0f44bd3ee2cb7792fe2f394cf0b144b9c9c55c7382071a5072b132636be527a3
This publication supplied all 64 power inputs, source metadata, public range pins, cohort rules, and map projection helpers. We kept the same residual map definition and calculated new variance weights and squared prediction errors.
- 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
This publication supplied method context for block variance shrinkage of interictal correlation maps. We read it after our scores were calculated. We used none of its data or weights. The present test uses early seizure power residuals and a five-window jackknife.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The analysis used the released SEEG power arrays and source metadata from OpenNeuro ds004100 version 1.1.3.
- doi:10.1016/j.clinph.2017.03.040
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