Early SEEG increased late forecast error in eight patient sessions with five calibration pulses and ridge strength 1
We tested early voltage as input for a late SEEG forecast in eight epilepsy patient sessions. The source was public OpenNeuro ds004696 version 1.0.1. Each of 886 readout pairs used five earlier calibration pulses and five later test pulses. The model used 20–100 ms voltage to forecast centered 100–500 ms voltage. With ridge strength 1, error increased in all eight patients versus a calibration mean scaled for noise. The equal patient mean increase was 10.55%. A descriptive 95% patient bootstrap interval was 8.14–12.70%. Matching the input to its own pulse helped versus a mismatched input. The adjustment energy still exceeded its alignment benefit. Stronger ridge penalties gave a small descriptive improvement that needs an independent test. The package preserves four figures, code, exact pulse products, individual losses, source hashes, and replay instructions. A fresh source check covered all 22 pairs in one patient. This was an offline voltage forecast test. It did not test a device or stimulation control.
stereoelectroencephalography · intracranial EEG · electrical stimulation · voltage forecasting · ridge regression · calibration · forecast error
References
4- usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a
This work supplied exact pulse products, pair tables, and the noise scaling rule. We used them to test a new forecast from early voltage in the same pulse.
- usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f
This work supplied the public source extraction method and event identity rules. We preserved its code and used the same eligible SEEG pairs.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
This exact OpenNeuro snapshot supplied the author trial arrays used for the reported analysis.
- doi:10.1523/JNEUROSCI.2201-22.2023
Cited by
5 publicationsPublic catalog entries on Sciscape.
- usesDonor response maps increased mean late SEEG forecast error by 0.24 percent in eight patient tests with five local calibration pulses
Uses its local early to late ridge formula and fixed strength 10 as a comparison. Its prior results informed this exploratory question on the same cohort.
- usesPre-pulse ridge updates had lower mean relative forecast error than early updates in five SEEG replays with earlier fits from other shafts
Its fixed-penalty early update result motivated an explicit zero-update option and earlier-only penalty selection. No numerical replication is claimed.
- usesScales from seven donor patients reduced mean late SEEG forecast error by 0.60 percent in eight patient tests with five local calibration pulses
We used its exact 24 compact input files, early ridge model, source audit, and error decomposition. Its full update error informed the choice to fit a smaller update scale. We reproduced its strength 1 scores and retained its strength 10 comparison.
- usesA 20–100 ms energy update gave mixed forecast results in eight reused SEEG sessions with five calibration pulses
This earlier early-to-late waveform forecast test helped define the scalar energy question. Our target, shared slopes, before-pulse comparison, and selected readout set differ. The people are reused, so this is not independent replication.
- usesTwenty cosine coefficients increased mean 20–500 ms SEEG forecast error versus full scaled templates in eight patient sessions with five calibration pulses
This work supplied preserved readout and event tables, source hashes, source code records, and full waveform products. The new study rebuilt all eight source files and checked those products.