Stimulus time gave lower prediction error than scaled time for later SEEG trials in eight MetaRDK patients with eight-knot models
We tested time alignment with public SEEG high-gamma data from the first eight MetaRDK patients. Each model used early trials to predict the same signal bins in later trials. Time from stimulus onset gave lower error than time scaled between stimulus and movement. This occurred in all eight patients. We divided each patient error difference by that patient constant model error. The mean added error for scaled time was 0.156%. The 95% patient bootstrap interval was 0.082% to 0.254%. The effect was small and concerns the tested eight-knot models. The package contains new trial features, source versions, code, results, and checks. Movement time is needed for this retrospective analysis.
stereoelectroencephalography · high-gamma activity · time alignment · prediction · movement latency · MetaRDK
References
6- usesA fixed SEEG high-gamma model increased mean confidence prediction error across trial blocks in 17 patients sci:sha256:a82d0f18d33d80eff73f5cfc9ea22ee95b2d84706a1fa4fa872c7af43045c180
This publication is the earlier source of the restricted NumPy pickle parser and range helper. We used the helper for retrieval and complete-file validation.
- usesMetaRDK sub-11 neural and behavior trial ends differ by more than two samples at 512 Hz sci:sha256:5a4c2d5084c87905d0837cd0843143abaf663cda9a5eb2184501d9fa21aa5481
The trial timing audit supplied the inclusive end-sample rule and two-sample timing check. We repeated timing checks for all source trials in our eight patients.
- usesStored SEEG channel means gave no clear change-of-mind prediction gain with linear models in later trials from 21 patients sci:sha256:368c2d4d432d61e09b7c15945d4f4cd9966a090ba6f2da03d56460cf3f94f4f9
We used its source byte layouts, behavior tables, and range helper to retrieve new time-bin features from pinned MetaRDK files.
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
Source data: MetaRDK, OpenNeuro ds006253 version 1.0.3. The release and version-specific DOI are recorded in the source manifest and dataset metadata.
- usesdoi:10.1038/s41467-025-61744-8
Describes the MetaRDK task and processing of the SEEG signals analyzed here.
- doi:10.1016/j.neuron.2019.10.020
Background on methods for detecting and testing changes in neural timing.
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