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Noise scaling gave 24.5 percent mean site accuracy with four calibration pulses per site on new shafts in five offline SEEG sessions from 20 to 500 ms

A noise-scaled response map gave 24.5 percent mean site accuracy in five offline SEEG sessions from 20 to 500 ms. A voltage map at the same output count gave 22.4 percent. We used OpenNeuro ds004457 version 1.0.2. The test had 182 sites and 728 test pulses. Each map excluded a whole stimulation shaft. Four local pulses per site fit candidate means; four later pulses tested them. The primary patient mean difference was 2.06 percentage points. Its descriptive 95 percent patient bootstrap interval was -0.26 to 4.39 points. The exact sign-flip value was 0.25. This test gives no clear evidence of a mean gain. A complete donor span kept every donor-only decision, but changed 174 of 728 decisions when new calibrated sites were added. Adding all local means to the span kept every full-metric decision. Before-pulse results limit a response-specific interpretation. This is a test of offline calibration, with five patients and retrospective quality selection. The package has three figures, exact compact inputs, saved maps and scores, source hashes, and code. A fresh raw rebuild matched all ten input files. An independent distance calculation matched all 3640 main decisions. A separate run matched all 196 analysis files byte for byte.

stereoelectroencephalography · electrical stimulation · site decoding · noise scaling · response maps · calibration · cross-validation

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References

4
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    Its compact SEEG inputs and fixed half-covariance rule underlie the parent package. We reused the raw retrieval and extraction recipe, checked all source hashes, and rebuilt every compact input from fresh MEF downloads.

  2. usesNoise scaling gave higher site accuracy at equal ranks in five SEEG sessions from 20 to 500 ms sci:sha256:c6031195564137653b7e8380a6d0857fd9bd6017678c2bcb4a74922b589460d3

    We used its exact compact voltage inputs, fixed recording cohort, source manifest, and known-site map methods. We added a test that excludes a whole stimulation shaft from fitting and uses four local calibration pulses per candidate site.

  3. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    This exact OpenNeuro release supplied the SEEG recordings used in the analysis; the saved source manifest pins its source files and hashes.

  4. doi:10.1523/JNEUROSCI.1325-22.2023

    This is the source study associated with the OpenNeuro recordings and is cited for the study context and attribution.

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