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q-bio.NC · Neurons and Cognitioneess.SP · Signal Processing

An updated local RMS model did not establish lower SEEG forecast error at 86 selected readouts in eight sessions

We tested a local linear model for the voltage size after an electrical pulse. The input was voltage size from 420 to 20 ms before the pulse. The target was voltage size from 100 to 500 ms after it. RMS means root mean square. SEEG means stereoelectroencephalography. The source was public OpenNeuro ds004696 version 1.0.1. The test used 610 later pulses at 86 fixed readouts in eight people with epilepsy. The first five good pulses selected each readout. Each local model used completed earlier responses and fixed 50 percent slope shrinkage. The reference used the same target history without the current input. Mean absolute error changed from 0.097862 to 0.100362 log10 RMS units. Error reduction was -2.55 percent, with a descriptive 95 percent person interval of -6.84 to +1.03 percent. 2 of eight people had lower error. The archived record contains all pulse measurements, predictions, source hashes, three figures, and replay records. All eight complete source hashes and numerical checks passed. GPL analysis and retrieval scripts are excluded from the SCI package, so its results cannot be regenerated from included code alone. The cohort is reused. The test does not isolate a causal stimulation response or test a stimulation policy. The original analysis scripts remain in the local archive.

stereoelectroencephalography · SEEG · electrical stimulation · brain-computer interface · RMS · forecasting · prediction error · local linear model

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References

8
  1. usesA fixed model gave no clear 4–30 Hz power forecast gain from input ending 20 ms versus 500 ms before a pulse for targets at 100–500 ms after the pulse in eight SEEG sessions sci:sha256:7def033d65e62e11ff56502733ae76b99a84f7764072fd1b8d669d98536e3b22

    We used its matched 400 ms input-age and no-pulse timing design, and its native sample-grid finding. The saved amendment keeps the final 819 native samples in each window. The new features are broadband RMS and the new fits update within each site.

  2. usesPast pulse updates reduced normalized 20–500 ms SEEG forecast error versus fixed five-pulse templates at 86 selected sites in eight epilepsy sessions sci:sha256:fd07147e53abc31f50ad87cee1d777a9d91b45b3d2a172703485899005f00530

    We used its exact pulse mapping, fixed readout tables, complete-source downloader, and source hashes. We checked every inherited before-pulse and after-pulse waveform against its archive. The new study measures different 400 ms windows and updates a separate local slope.

  3. usesA five-pulse test did not establish lower SEEG size prediction error from pre-pulse RMS in eight patient sessions sci:sha256:947fe7aa6e242e0f9e723e54cb14b472f7f801ecbaac8501e809356a1e6953c5

    Its recent-input RMS analysis defines a prior fixed-fit question in this cohort. We extend that question with local chronological updates and a matched expanding mean. This is not an independent cohort or an exact replication.

  4. usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418

    Its first-five-pulse readout choices are fixed inputs to this study. We inherited these choices through the all-pulse archive and checked their identifiers. Later response targets did not select a new readout.

  5. usesA linear input from voltage size before a pulse, fit in other patients, increased SEEG forecast error at 86 readouts in eight epilepsy sessions sci:sha256:5155fafc9b39ef5ceedba10e396f5757c20d16ac9a8fc0cd903a1931470d64eb

    Its earlier-input RMS result and matched response-history mean motivated the present test of local slope updates. We kept the reference tied to the same completed target history. The new model, input window, and response window differ.

  6. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis uses stored trial voltage and event records from OpenNeuro ds004696 version 1.0.1.

  7. doi:10.1523/JNEUROSCI.2201-22.2023

    Describes the source experiment and dataset used for the recorded SEEG measurements.

  8. doi:10.1371/journal.pcbi.1011105

    Describes the CRP method used to produce the stored trial-voltage derivatives that this study analyzes.

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