Expected eight-pulse late ventral temporal SEEG shape energy had a 55 percent mean patient median variance share in five patients
We measured the pulse variance term in squared SEEG response energy. We used OpenNeuro ds004457 version 1.0.2. The study included 590 stimulation block–contact pairs at 19 ventral temporal contacts in five patients with epilepsy. The late window was 100 to 500 ms after stimulation. Each link used 8 to 19 good pulses from one block. For uniform eight-pulse subsets, the mean patient median variance share of expected energy was 54.8 percent. A descriptive patient bootstrap interval was 32.0 to 77.9 percent. The matched pre-window share was 113.9 percent. The late share was 55.9 percent after pulses with source notes were omitted. Values above 100 percent occur because the distinct-pulse estimate can be negative. The finite-pool identities apply to the recorded values. An unbiased signal energy interpretation requires a common mean waveform and zero error covariance between distinct pulses. The variance term includes true response variation as well as measurement error. We checked all 57 required raw files and rebuilt every input array exactly. A second analysis matched all 22 numerical output hashes. The pinned wheel environment also matched every energy value exactly. The package preserves pulse bins, source versions and hashes, link results, pulse membership, code, proofs, and assumption checks. This small cohort does not establish clinical thresholds or false-connection rates.
SEEG · intracranial EEG · electrical stimulation · pulse variance · response energy · finite-pool estimator · ventral temporal cortex · epilepsy
References
4- usesInterleaved pulse splits gave an uncertain mean patient median SEEG correlation gain of 0.008 in five patients sci:sha256:0157822b95095ada37d6604011da4e5ea8517b34e4de08c81710f23a426e1f67
We used its pulse arrays, event records, source metadata, and raw retrieval recipe. We checked their hashes and rebuilt every array from fixed raw objects. These inputs enabled the new energy benchmark.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analysis used the pulse arrays, event records, source metadata, and raw retrieval recipe from OpenNeuro ds004457 version 1.0.2.
- supportsdoi:10.1523/JNEUROSCI.1325-22.2023
This paper describes the source SEEG recordings used in the benchmark.
- doi:10.1371/journal.pcbi.1011105
Background on semi-normalized trial cross-projections in Canonical Response Parameterization; this study did not run or compare that full method.
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1 publicationPublic catalog entries on Sciscape.
- supersedesExpected eight-pulse late ventral temporal SEEG shape energy had a 55 percent mean patient median variance share in five patients
This version fixes the file checker for packages downloaded with sci fetch. The checker excludes the metadata folder that AutoSci adds. The input data, analysis code, and scientific results are the same.