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Power plus voltage gave 57.0% balanced accuracy for later format reading in 11 SEEG patients with eight pairs selected from early power

This study tested whether ten voltage means per SEEG pair add to three power features for later digit-versus-spoken reading. Both readers used the same eight pairs selected with early power data. In 11 epilepsy patients, 405 early trials trained the readers and 211 later trials tested them. Mean balanced accuracy was 49.1 percent for power and 57.0 percent for power plus voltage. The mean gain was 7.9 percentage points, with a descriptive 95 percent patient interval of -0.01 to 14.97 points. The descriptive patient interval included zero. This test did not establish a gain from added voltage. The exact two-sided patient sign-flip p value was 0.0820. Before-onset power plus voltage gave 55.2 percent. The added reader gave 49.8 percent across separate number values. These checks do not establish a benefit that is specific to the stimulus or stable across number values. The package preserves voltage and power features, source versions, range hashes, and early and late raw audit intervals. It also preserves all models, predictions, figures, and code. Fresh source checks, independent signal and fit checks, and a clean numerical repeat passed. This is an exploratory test in a reused cohort. It measures external sensory context, not intended output or stimulation.

stereoelectroencephalography · SEEG · voltage features · power features · brain-computer interfaces · balanced accuracy · number perception

Admitted 5 citing publications

References

6
  1. usesEight-pair SEEG readers gave 48.6 percent balanced accuracy for digit versus spoken format on later trials across separate number values in 11 patients sci:sha256:62f2433354637a80f95b57b22c2ae6f8682ba83a014ccc86692cf501cebe9fa1

    Its weak power-based format reading motivated the fixed voltage-feature comparison in the same patient cohort.

  2. usesA fixed eight-pair SEEG reader reached 47.4% balanced accuracy between digits and spoken words on later trials in 11 patients sci:sha256:faa69c746a9855ed7e397517c4cc6f939bf3d1b0651515aaf4fff294a136c80f

    Used its power features, retained trial maps, source records, raw early audits, and extraction code. Fresh source ranges add voltage bins and check all power values.

  3. usesA window before late Cue contained samples after recorded onset in 187 of 226 beep trials from six public SEEG runs sci:sha256:dcd1254c5527f89b3aa0296f948abc5e289cdea3f238729607e9c688c14d7346

    Used source version records, EDF headers, BIDS metadata, and spoken-onset interpretation inherited through the immediate feature source.

  4. usesAn eight-pair SEEG readout reached 51.7% balanced accuracy across digits and words on later trials in 11 patients sci:sha256:195aa1e228dbcfb3bcb0201a4c5102f552cd78fa886ec4751b638b6deb41ed4c

    Used the clock match and fixed ridge reader design through the immediate feature source.

  5. usesdoi:10.18112/openneuro.ds005415.v1.0.0

    The analyzed Numbers SEEG data and task metadata are from OpenNeuro ds005415 version 1.0.0; the recorded version-specific metadata identifies this release and its CC0 license.

  6. doi:10.1371/journal.pone.0313155

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