sciscape Publications
← All publications
q-bio.NC · Neurons and Cognition

Retained pulse order showed no clear extra gain for mean SEEG forecasts at 20–500 ms with variance scaling in eight sessions

A brain-computer interface can use a forecast of the response to a stimulation pulse. An update can reduce forecast error because it uses more past pulses. This study tested whether the observed pulse order gave extra gain beyond that sample-count effect. The study used public SEEG data from eight epilepsy patient sessions in OpenNeuro ds004696, version 1.0.1. It used ten retained pulses at each of 86 stimulation sites and 886 site-to-readout pairs. The primary score used 20–500 ms waveforms and divided error by the sample variance of all ten pulses. An exact finite-set proof gave the reference gain under uniform pulse order. The observed gain was 0.07279 variance units. The reference was 0.06359. The excess was 0.00920, with a descriptive 95% patient bootstrap interval of −0.00383 to 0.02498. Thus, the primary result showed no clear extra gain from retained pulse order. A secondary early-window result needs a separate test. The package provides exact data products, a reference tool, source checks, and code. It does not test an online interface or a functional effect of stimulation.

stereoelectroencephalography · SEEG · electrical stimulation · forecast error · pulse order · finite-set reference · bipolar waveform · brain-computer interface

Admitted 1 citing publication

References

6
  1. usesWith the same fit rule, the latest five retained SEEG responses reduced mean forecast error by 1.1 percent against random sets of five at 20 to 500 ms in eight patient sessions sci:sha256:0c97ffc54bebbe1fc1f117cd98063de228096c44c2ccc6a3740218015fc38e51

    Used the prior recent-versus-random-past control to define the different scope of a uniform complete-set order reference for fixed and growing means.

  2. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

    Used all eight compact SEEG data files, edge and site maps, fixed spatial rules, source metadata, and the pinned extraction recipe. Imported files passed archive hashes. Two complete source derivatives were freshly rebuilt.

  3. usesAll earlier pulses gave lower mean SEEG forecast error than four recent pulses in five recordings at 20–500 ms sci:sha256:7572e2f1a54f04ee36ae5756aff12b06f8ed5349904c849467a91c2e6236dbe9

    Used prior growing-versus-recent and pulse-order results in another SEEG dataset to motivate the exact finite-set averaging reference.

  4. usesRecent five-pulse updates with noise scaling reduced mean 20–500 ms centered bipolar SEEG forecast error in eight patient sessions sci:sha256:aab0f09b0cde0fe33fe1115134d13702f7c2609ff81a1be8300ff8d84b1ea5be

    Used prior update comparisons in the same cohort to define an audit that subtracts the exact sample-count reference from the observed update gain.

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

    The analysis uses the public SEEG derivative from OpenNeuro ds004696, version 1.0.1.

  6. doi:10.1523/JNEUROSCI.2201-22.2023

Cited by

1 publication

Public catalog entries on Sciscape.