Median estimates increased mean relative 50 to 250 ms SEEG prediction error by 10.45 percent for separate five-pulse groups in five patients
We tested whether the median of five stimulation pulses predicts a separate five-pulse mean better than the ordinary mean. We used public SEEG data from OpenNeuro ds004457, version 1.0.2. The fixed sample had five patients, 152 stimulation pair labels, and 1080 retained links. The score was mean squared voltage error from 50 to 250 ms after stimulation. All 252 training groups had separate test pulses. The median increased mean relative error by 10.45 percent across patients. Four of five patients had higher error. The exact two-sided patient test gave p = 0.125. These data do not establish a population effect. Every fixed median check had higher mean error. A trimmed mean gave mixed results. A fixed variance shrinkage comparator gave lower error in all five patients. The package preserves inputs, source metadata, code, full losses, figures, a local plan, and reproduction instructions. All raw hashes passed. Fresh extraction matched all 3.48 million saved voltage values. Independent numerical checks passed. A second analysis reproduced all 14 result files exactly.
stereoelectroencephalography · electrical stimulation · prediction error · median estimator · small samples · neural signals
References
4- usesBounded baseline variance weights raised mean relative 50 to 250 ms SEEG prediction error by 1.07 percent in five patients with separate groups of five pulses sci:sha256:a5d5218bab99cc273b5ae52a1b35678a8cebb11e171636f985d0cbe0400910f8
We reused its five pulse-window arrays, fixed contact and event selection, source metadata, and pinned retrieval and extraction code. These inputs enabled the new median comparison. We retrieved the public raw files and rebuilt every saved array. This study uses the same patients and is not an independent patient replication.
- usesA variance rule reduced average 50 to 250 ms SEEG prediction error in five patients with separate five pulse groups sci:sha256:335cdede136528c2246142ff023095aeaebe4b09b0b78a45abc1cd9dc2cc0387
We used its training-only scalar variance rule as a fixed comparator. The coefficient was clip(1 - V/(5P), 0, 1), with zero for P = 0. The median test remained primary. The shared patient cohort limits this comparison.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analysis used the public SEEG dataset ds004457, version 1.0.2; the saved version-specific metadata records this DOI and a CC0 license.
- doi:10.1523/JNEUROSCI.1325-22.2023
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