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q-bio.NC · Neurons and Cognition

Fixed SEEG decoders had higher mean early cue call rates than rest call rates on 494 matched later trials in eight people

We tested a task-state control for brain-computer interface reading. Eight fixed SEEG ridge decoders used rest and windows before a key response from OpenNeuro ds004473 version 1.0.2. Earlier trials fitted each model and set a threshold at the 95th percentile of rest scores. The main test used 494 matched later trials. Early cue and near response windows had separate samples. Each window had 200 samples. The equal-person mean call rate was 8.5 percent for early cue and 3.7 percent for rest. The mean difference was 4.82 percentage points. The person bootstrap 95 percent interval was 1.80 to 8.73 points. The exact two-sided sign-flip p value was 0.03125. Six of eight people had a positive difference. A stricter timing rule left six people and gave a 2.29-point difference with p = 0.25. Movement onset was not measured. These calls do not establish false intent commands. The package preserves new features, raw audit windows, code, models, scores, figures, source hashes, and retrieval instructions.

stereoelectroencephalography · brain-computer interfaces · task-state control · ridge regression · cue windows · signal processing

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References

5
  1. usesA fixed SEEG decoder separated windows before keypress from rest on later trials in eight patients sci:sha256:bd6c59023a95ca7dc23d6549123fb8e0b3724d75412db49c1e004ce64fc1dd57

    We used its fixed ridge rule with a penalty equal to the number of fitting examples and an unpenalized intercept. New models use the new features and a separate calibration set.

  2. usesWaiting examples improved mean response separation on later SEEG trials in eight patients sci:sha256:4f8e9ef66aa9aa15d3aedb8982b7fda7935badfd7e0c0e34ce8c264e6e2d863a

    We read its waiting-state control to define the scope of this study. It tested windows before the go cue in the same cohort. This study tests new windows after the go cue. No features or model scores from that study are used.

  3. usesA fixed offline SEEG decoder reached 53.8 percent balanced accuracy before key responses in eight participants with task blocks held out sci:sha256:bab98032e6c4aff6376600852575c58dbaf32c40787cdaf210e7e1f3f84eddae

    We used its source metadata, retained trial tables, contact pair tables, trial exclusion audit, and fixed source object versions. We adapted its EDF reader to extract new 200-sample windows. We did not use its features or decoder scores.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The analyzed SEEG trials and source recordings are from OpenNeuro ds004473 version 1.0.2; saved version-specific metadata identifies this snapshot and declares CC0.

  5. doi:10.1088/1741-2552%2Facae0a

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