Median scale correction reduced mean count error for a 10 percent 80–150 Hz power cutoff, with 118–122 Hz removed, in two 60-second SEEG clips from each of 34 patients
We tested whether median scale correction made a fixed SEEG power cutoff select a more stable number of pairs between recordings. The data were two 60-second interictal clips from each of 34 patients in OpenNeuro ds004100 version 1.1.3. The score was mean 80–150 Hz power, with 118–122 Hz removed. Each source selected its highest-power 10 percent of pairs, rounded up. The correction used the target median from all eligible pairs. Across 3,325 pairs, mean count error fell from 2.42 to 1.84 percentage points. The mean change was −0.58 percentage points. Its 95 percent patient bootstrap interval was −1.07 to −0.11. The exact sign-flip p value was 0.0256 under independent-patient and sign-symmetry assumptions. Fifteen patients improved, eight worsened, and eleven had no change. SOZ recall stability did not show a clear gain. The target scale used the complete clip. The study reused a published cohort and does not show clinical benefit. All 72 pinned public source prefixes were retrieved. All 68 power files matched exactly. Code, inputs, selection tables, checks, figures, and repeat instructions are preserved.
stereoelectroencephalography · SEEG · power cutoff · median scale correction · cutoff transfer · high-frequency power · epilepsy · measurement stability
References
3- usesMedian 80–150 Hz window power, with 118–122 Hz removed, increased pair rank agreement across two 60-second SEEG clips in 34 patients sci:sha256:e4d5ad1829bc327fc8caf290650464f8fa7b7a27677ac9b6b847fa307908da04
We used its full 34-patient cohort, window powers, source pins, and retrieval code. We tested fixed cutoff transfer in those patients.
- usesReference choice changed relative 30–55 Hz power AUROC by 0.111 on average in two 60 s clips from 35 SEEG patients sci:sha256:d441c426f62a09b3b78933ca35f4c191a45f8076d63d922c1013d1d697a54791
The source decoder and cohort rules came from this work through the parent package. We preserved that code to rebuild the public inputs.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The analysis used the two 60-second SEEG clips per patient from OpenNeuro ds004100 version 1.1.3.
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