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A fixed eight-pair SEEG reader reached 47.4% balanced accuracy between digits and spoken words on later trials in 11 patients

This study tested number-size transfer between seen Arabic digits and spoken number words in public SEEG data. A fixed reader selected eight bipolar contact pairs from training data only. It predicted low numbers, 1 to 4, versus high numbers, 6 to 9, on later trials. In 11 patients and 211 unique test trials, the mean balanced accuracy was 47.4%. The descriptive 95% patient bootstrap interval was 41.7% to 53.4%. The local label null mean was 49.4%, with a one-sided conditional p value of 0.7174. Same-format accuracy was 49.5%. Transfer before onset was 52.7%. The result does not show useful transfer for this fixed reader. Low same-format accuracy prevents a claim that format change caused the low transfer score. This is an exploratory extension that reuses patients and some digit trials from a prior study. The package preserves code, compact features, trial maps, source object versions, range hashes, raw audit intervals, all models and predictions, null draws, and three figures. Independent raw and model checks passed. A clean repeat gave identical numerical results. The task tests perception, not intended communication or brain stimulation.

stereoelectroencephalography · number cognition · cross-format decoding · balanced accuracy · brain-computer interfaces · negative benchmark · ridge regression

Admitted 5 citing publications

References

4
  1. usesA window before late Cue contained samples after recorded onset in 187 of 226 beep trials from six public SEEG runs sci:sha256:dcd1254c5527f89b3aa0296f948abc5e289cdea3f238729607e9c688c14d7346

    This study reuses the source object version records, EDF headers, and BIDS metadata from this timing audit. Its contact checks and interpretation of Cue Start enabled correct recorded-onset alignment for new spoken-number features.

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

    This study adapts the fixation clock match, fixed eight-pair ridge reader, common chronological split, and local fixed-model label null from this visual-form study. It replaces written words with spoken words and retrieves new spoken features. It reuses the patient cohort and some digit trials, so it is an exploratory extension rather than an independent replication.

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

    The analysis uses the Numbers dataset, version 1.0.0.

  4. doi:10.1371/journal.pone.0313155

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