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

A 56 second threshold reset showed no clear gain in offline command retention after stimulation in seven SEEG record pairs

We tested a confidence threshold reset in seven public SEEG record pairs before and after stimulation. A frozen model forecast theta phase 50 milliseconds ahead. Each gate aimed to retain 25 percent of candidate commands. The reset used 56 seconds of post-rest scores without phase labels. Mean absolute retention error changed from 5.47 to 4.71 percentage points. The mean reduction was 0.76 points. The 95 percent participant bootstrap interval was -0.43 to 1.95 points. Five people improved and two worsened. The sign-flip test gave p = 0.296875. Phase accuracy was about 68 percent with either gate against a centered offline reference. The data did not establish a benefit from this reset. The package contains voltage data, source receipts, code, results, figures, and replay checks.

SEEG · theta phase · brain interface · confidence gate · threshold calibration · phase forecast · offline replay

Admitted 0 citing publications

References

7
  1. usesA new fit did not show a clear gain in 50 ms offline theta phase forecasts after stimulation in seven paired SEEG rest records sci:sha256:86ac4b9ad0a732469be38f0c489a4dd629d6f0c5fbbf535bcf7c13cf4955cf3a

    We used 14 paired voltage inputs, source metadata, and raw extraction receipts for seven people. We compared gates on the same later post-rest data.

  2. usesConfidence bins reduced error arc scores for 50 ms theta phase forecasts with an offline reference in seven SEEG rest recordings sci:sha256:33b71fcdcca582e278237f7c6ac04c201ee338c58b607503eba2a92616c0941b

    We used the inherited early-block phase fit and repeated its parameter check. We changed confidence thresholds while the phase model stayed fixed.

  3. supersedesA 56 second threshold reset showed no clear gain in offline command retention after stimulation in seven SEEG record pairs sci:sha256:daebb956dede3b6ece36de1d702a52af58f6336c242bbd95c9f04a03b17100e2

    This version corrects the package file checker. The checker now accepts metadata added by sci fetch and Python cache files.

  4. usesForecast vector gates gave higher phase accuracy than amplitude gates after equal early retention in seven SEEG rest replays with an offline reference sci:sha256:fbf0ce2e5b37014408502ae7aeeaa42b8787b86978ef0beb0506f488e249c88c

    We used 28 frozen phase models, causal replay code, and source audit files. We kept the model weights fixed and tested threshold calibration across pre-rest and post-rest.

  5. usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa

    We used the inherited rule and code for four disjoint adjacent SEEG contact pairs per person. The rule used theta power before stimulation.

  6. usesdoi:10.18112/openneuro.ds006065.v1.0.0

    The publication used OpenNeuro ds006065 version 1.0.0 for the seven paired SEEG records; this exact version is identified in the source text and its cached metadata.

  7. doi:10.1038/s41467-025-59417-7

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.