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Score centering over the past 20 seconds did not show higher detection before key presses at a 5/min early budget in eight SEEG recordings

We tested whether removal of a past score mean helps a continuous SEEG command rule. We used eight patients in OpenNeuro ds004473, version 1.0.2. Each decoder used the first 40% of valid trials for fitting. The next 20% set thresholds under a limit of five background commands per eligible minute. We tested fixed scores and scores minus the mean of the past 20 seconds on later data. Both rules skipped the same first minute and used the same command wait of one second. The test included 753 responses and 104.24 minutes of continuous scans. Mean detection before key presses was 19.71% with fixed scores and 19.84% with centered scores. The paired change was +0.13 percentage points. Its 95% patient bootstrap interval was -1.29 to +1.79 points. The exact two-sided sign-flip p value was 0.9375. Mean background rates were 4.42 and 4.00 commands per eligible minute. Later rates were not matched. The detection result did not show a clear gain. Background commands give a task proxy for unwanted output. They do not show known intent errors. This is an exploratory test of existing data from one session per patient. The package has source code, input features, figures, provenance, and a raw-data retrieval recipe. This study tests signal reading. It does not test brain stimulation.

SEEG · brain-computer interface · score centering · causal decoder · command detection · continuous monitoring

Admitted 1 citing publication

References

5
  1. usesAt a zero threshold, eight-pair SEEG decoders gave a mean of 36.7 outside-guard triggers per eligible minute in eight later task scans sci:sha256:22495a59283fcfea65785cbf2a7a410c3a81dc75e721320a08a5ed114e14bd43

    This study uses the fixed early fitting method, selected bipolar band powers, continuous later feature extraction, and command wait rule from the stream study. The direct input parent preserved these files. The present work adds early threshold search for past mean removal and reports paired later results.

  2. usesA rule with three scores did not show better detection before key presses at a 5/min early background budget in eight SEEG recordings sci:sha256:4123fe4badcd90fdd5baa89a3bdfb8efdb03e541ba11f571a97f99b1edb9e826

    This study reuses all 32 input data files and the preserved source records. They supply early trial features, fixed models, continuous calibration features, and continuous test features. The new test compares fixed scores with strictly past score mean removal under a shared early background budget.

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

    The analysis used ds004473 version 1.0.2; pinned dataset metadata and raw source records are preserved.

  4. doi:10.1155/2012%2F185320

    Background method paper describing past-mean removal for EEG; cited for method context.

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

    Source task paper cited for context on movement-related SEEG signals in these recordings.

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