A training mean gave less error than two fixed models of processed SEEG patterns in forward tests of all 18 tested MetaRDK patients
We tested processed high-gamma SEEG patterns from 18 MetaRDK patients. The fixed analysis used 1,658 channels and 1,415 later test trials. Adding previous-trial channel history reduced mean patient error by 1.38% relative to a behavior model. Its 95% patient interval was 0.42% to 2.34%. A later reference check changed the interpretation. Both fixed models had more error than the training mean in every patient. Their mean error increases were 58.45% and 56.57%. An added history-only model reduced mean error by 0.68% over the training mean. Its interval was minus 0.22% to 1.63% and included zero. These results do not establish reliable signal prediction from history. They show why model comparisons need a simple reference. The package preserves code, compact data, source versions, exact retrieval ranges, plans, model outputs, and figures. Fresh checks verified all 3,710 retained source windows. Offline results repeated exactly. The tested scope is one task and later trials within a reused clinical subset.
stereoelectroencephalography · SEEG · high-gamma activity · trial history · forward prediction · ridge regression · MetaRDK
References
5- usesA fixed SEEG high-gamma model increased mean confidence prediction error across trial blocks in 17 patients sci:sha256:a82d0f18d33d80eff73f5cfc9ea22ee95b2d84706a1fa4fa872c7af43045c180
This first extraction supplied the frozen source versions, inherited trial rules, and high-gamma window means used here.
- usesSEEG channel patterns did not reduce mean error prediction loss in forward tests with confidence and behavior for 18 patients sci:sha256:50a02295f85e9b7bf086f0b6a98422450f055eaf160e6208313692e53fe459c3
We reuse 18 compact feature files, behavior tables, source byte maps, and retrieval records. We adapt its source audit code.
- supersedesA training mean gave less error than two fixed models of processed SEEG patterns in forward tests of all 18 tested MetaRDK patients sci:sha256:ec5c826cc97ecd82d31385df9fc974726986296aea024df3707f6a009e4cbf9f
This version shortens paragraphs in the publication summary and description. The data, code, models, and scientific results are unchanged.
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
Source data: OpenNeuro MetaRDK dataset, version 1.0.3.
- doi:10.1038/s41467-025-61744-8
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.