A fixed map gave 8.00% mean error reduction for simulated missing centered SEEG voltage at 3–15 ms in 20 calibrated stimulation trains
We tested repair of recorded voltage when SEEG channels were treated as missing. We used the first stimulation train from each of 20 people in OpenNeuro ds005169 version 1.0.0. Sixteen observed channels and all output channels had separate shafts and contacts. Only the observed inputs set pulse edge times. The first 24 pulses fit a fixed spatial map; the next 24 tested it. Each completed 3–15 ms window was centered. The reference was the same two early pulse class means. Mean error reduction was 8.00 (0.86 to 16.63) percent; the interval is a 95 percent person bootstrap interval. The map lowered error in 12 of 20 people. Mean baseline reduction was 9.40 percent. The exact primary sign-flip p value was 0.0646. Matched inputs gave 10.19 percentage points more reduction than wrong-pulse inputs. The result applies to centered recorded voltage with prior output calibration. Shared artifact can aid repair. The test does not show recovery of a unique neural signal or live brain control. The package preserves checked source hashes, native windows, code, fitted maps, estimates, tables, figures, and a clean replay check. These 20 people also occur in the cited prior work; this is a new test in a reused sample.
stereo-EEG · intracranial EEG · missing-channel repair · ridge regression · voltage prediction · cortical stimulation
References
4- usesOne early voltage scalar increased prediction error by a mean of 0.31% at 3–15 ms in 20 SEEG trains after 24 fit pulses sci:sha256:267aaac0e6978135ad050c3c51f1d4af411cf65ec8ec2859d4084d03973c3559
Its early-scalar forecast test motivated the simultaneous spatial repair question. We reused its fixed first-16 alphabetic input rule and separate-shaft output design. We copied no fitted model, score table, or code.
- usesRepeatable pulse class differences exceeded baseline at 3 to 15 ms after detected edges in 17 of 20 SEEG recordings sci:sha256:879b5223cbf14d14e8e6ed3642b3968e076bf8d799c75c3c86fea26e328c4ab9
We used its source file list, metadata, extraction and retrieval code, and compact arrays for an exact check against freshly downloaded full voltage files. We reused the same 20 people. The new model uses fresh input-only pulse timing and does not use prior scores.
- usesdoi:10.18112/openneuro.ds005169.v1.0.0
The analyzed SEEG records are from OpenNeuro ds005169 version 1.0.0, fixed at commit ff529027bef934f384e7385f1b83d7190ef307d0.
- doi:10.1002/hbm.25749
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