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
References
4- 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.
- 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.
- 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.
- 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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