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A fixed SEEG decoder separated windows before keypress from rest on later trials in eight patients

We tested a fixed SEEG power decoder in eight patients with epilepsy. The source was OpenNeuro ds004473, version 1.0.2. We used 2,032 trials. Each model trained on the first 60% of one person's trials and tested on the last 40%. It compared 500 ms before a recorded keypress with rest. Mean balanced accuracy was 75.3%. The 95% person bootstrap interval was 68.1% to 82.8%. An exploratory comparison with windows before the go cue reached 70.8%. The rest control reached 52.2%. Resampling blocks of adjacent test trials gave intervals above chance in seven of eight people. The package provides compact features, figures, code, source versions, range hashes, and retrieval instructions. The result applies to the tested event windows in the same recordings. It does not measure isolated movement intent, continuous use, or brain stimulation.

stereo-EEG · brain-computer interface · ridge regression · power features · forward testing · task decoding

Admitted 26 citing publications

References

2
  1. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The analyzed SEEG signals, events, and channel metadata came from OpenNeuro ds004473 snapshot 1.0.2.

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

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