Maps selected for 20 to 100 ms voltage error used fewer values and had lower mean site accuracy with a fixed covariance rule in five offline SEEG sessions
We tested response-map compression with public OpenNeuro ds004457, version 1.0.2. The test used 183 stimulation sites and 15 bipolar recording pairs in five patient sessions. Four early pulses at each site selected map rank and scale for 20 to 100 ms voltage error. Four separate later pulses measured performance. The selected maps used 42.1% fewer float32 prediction values than dense maps, with equal patient weight. Mean relative error reduction against a full map with the same scale selection was 0.184%; the exact patient sign-flip p value was 0.1875. Mean site accuracy with the same fixed covariance metric fell from 40.56% to 37.90%. The accuracy change was -2.65 points, with p = 0.25. A local scale rule gave lower voltage error in all five patients. The result shows a storage and task tradeoff in these sessions. It does not establish a population error benefit or online BCI performance. The package preserves five figures, bins, source metadata, compact maps, code, and hash-checked reproduction recipes. A fresh raw rebuild matched all voltage arrays. A separate analysis matched 67 output hashes.
stereoelectroencephalography · response maps · matrix compression · voltage prediction · site identification · brain-computer interfaces
References
5- usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a
Used its local scale rule based on distinct-pulse inner products as an additional forecast comparator. Adapted the rule from five calibration pulses to four and used the present study loss weighting.
- usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
Used its exact voltage bins, fixed contact and site rules, pulse allocation, covariance rule, source metadata, and raw extraction provenance. The full-mean classifier reproduced its primary scores. Added calibration-selected matrix compression and joint storage, voltage, and site tests on the same cohort.
- usesA learned time basis did not show lower mean one-pulse SEEG forecast error at 94 new sites in five patient sessions sci:sha256:7aa30d9799432d4754152e931d764d9f390ea9b971b9c6e176501180aabbeebf
Its calibration-only basis test informed the rank and scale grid and the strong full-map comparator. The new analysis fits a site-by-joined-feature map and tests later pulses at known sites. It does not test transfer to new sites.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analyzed public source is OpenNeuro ds004457 version 1.0.2; the publication records this exact version and hashes for the selected source files.
- doi:10.1523/JNEUROSCI.1325-22.2023
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesA 90% voltage map rule gave lower 20 to 100 ms site accuracy than calibration accuracy selection in five offline SEEG sessions with one covariance rule
This study uses the prior voltage-forecast rank study to define the task comparison. It now selects rank by calibration site accuracy and compares that rule with a 90% calibration-map variation rule. The cohort and later pulses are reused, so this is not an independent patient replication.
- usesOne log RMS value per pair reduced site accuracy in five SEEG sessions with a fixed reader
Its study of numeric reader storage gave context for the feature-count question. We tested voltage size and time detail with the original pulse split and reader rule.
- usesCovariance-scaled rank-four maps gave 35.1 percent site accuracy versus 32.6 percent for voltage maps at 20 to 100 ms in five SEEG sessions with four calibration pulses per site
This source supplies the compact bins, target pairs, site rules, fixed covariance rule, and voltage-map benchmark. The present study adds covariance-scaled maps and complete compiled readers. It uses the same pulses and has no new independent sample.
- usesShared SEEG templates used 36% fewer numeric values with a 0.22% mean relative error decrease in five offline 20 to 100 ms tests
Its compact voltage forecasts and local scale comparison define the prior result and the limit of our contribution. We read this work after our numerical analysis. We changed the scope account, but no model or test result.