One selected remote pair gave 80.8% accuracy on later pulses within site blocks for two known neighboring sites in five SEEG sessions
We tested one remote recording pair for two known neighboring stimulation sites in five public SEEG sessions. Four early pulses per site set pair scores and response templates. A noise scale used early pre-pulse data from all eligible sites. The selected pair gave 80.8% accuracy on later pulses within site blocks. Uniform pair choice gave 61.2%. All five sessions had a gain. The mean gain was 19.6 percentage points. Its descriptive 95% patient bootstrap interval was 16.1 to 23.1 points. The exact two-sided patient sign-flip value was 0.0625. A simpler response-size rule gave 80.6%. Pulse time alone gave 83.8%. Site blocks, session-wide noise calibration, and stimulation artifacts limit an online or neural interpretation. The package contains compact voltage data, source hashes, code, figures, predictions, models, and reproduction instructions. Fresh raw extraction matched all input arrays and tables. A separate analysis run also matched all numerical results.
SEEG · electrical stimulation · recording-pair selection · brain-computer interface · nearest-mean classification · noise covariance · temporal blocking
References
5- usesSEEG on other shafts gave 78.7% mean accuracy for two known neighboring stimulation sites in five offline sessions sci:sha256:8078a2e3396260efd26935412769d3c50a6cf1bd07a1e09a0d0edcf4fa5e81b0
Uses its compact voltage bins, source metadata, contact rule, 126 known neighboring-site problems, and raw retrieval and extraction code. The new test selects one remote pair from early pulses. A fresh raw reconstruction matched every input array and table.
- usesSeparate pulse groups showed larger 20–100 ms SEEG site distances than pre-pulse distances in five sessions under a fixed noise scale sci:sha256:9f1e90015b0bdafdea3d9064d667fecee53bf4a1f7b6784f4b237b4b812d4c1b
Its early pre-pulse noise scale and separate-group contrast informed the pair-ranking design. This test fits a separate fixed metric for each recording pair. No code or result array was copied from that publication.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
Analyzed public SEEG data from OpenNeuro ds004457 version 1.0.2; the package records source URLs, byte counts, hashes, and the source commit.
- doi:10.1523/JNEUROSCI.1325-22.2023
- supportsdoi:10.1371/journal.pcbi.1005508
Cited for the separate-group distance and its interpretation as reducing an expected independent-noise term; the publication also states the assumptions and limits of that interpretation.
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