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Offline SEEG models increased mean choice AUC by 0.101 after movement within visual directions in six additional MetaRDK participants

We compared processed high-gamma SEEG before and after movement in public MetaRDK data. The plan selected seven additional participants. Six passed the fixed trial rules. Each logistic model used eight bipolar channels. Early trials were used for fitting. Later trials were used for testing. Choice AUC gave equal weight to each visual direction and each participant. Mean AUC was 0.447 before movement and 0.548 after movement. The paired change was +0.101, with a participant bootstrap 95% interval from 0.055 to 0.152. The exact two-sided sign-flip p value was 0.0312. The interval excludes zero for this tested participant subset. The after-movement AUC interval is 0.482 to 0.638. It includes 0.5, so the paired gain alone does not establish reliable choice reading. The source uses a 400 ms smoothing filter, so these offline scores do not establish live command timing. The package adds seven verified compact feature files, records all exclusions, and preserves code, source versions, probabilities, models, figures, and instructions. It also reproduces the saved primary probabilities for 14 prior participants.

stereoelectroencephalography · choice decoding · brain-computer interface · high-gamma activity · area under the curve · MetaRDK

Admitted 5 citing publications

References

6
  1. Offline eight-channel SEEG models gave 0.484 mean choice AUC within visual directions in 8 new MetaRDK participants sci:sha256:000ec8109a497514631b4d12ae086e5a3ac4edce34c56551ee0604fb598fe426

    [Legacy relation: reproduces] We reproduced 3501 saved primary choice probabilities across three windows in all 14 prior participants. The largest absolute difference was 2.22e-16.

  2. usesOffline eight-channel SEEG models gave 0.484 mean choice AUC within visual directions in 8 new MetaRDK participants sci:sha256:000ec8109a497514631b4d12ae086e5a3ac4edce34c56551ee0604fb598fe426

    We used the compact features, source records, and small logistic model code for 14 prior participants.

  3. usesAdding eight SEEG signals to a task model increases offline confidence forecast error on later trials in five of six MetaRDK sessions sci:sha256:f153e0af57732bd1a666747e35778c555a9091f0c980875e17ea5b2460f566ee

    The extraction method supplied the restricted stream reader and compact three-window feature format, through the parent study.

  4. usesEqual weights for stimulus and choice cells gave 0.511 mean conditional choice AUC in six public SEEG tests at penalty 10 sci:sha256:b94e3d446b96228f8a58b29a16923e7d653cdcc15a84af3c803cae7fc0d2c4e4

    We used choice AUC within each visual direction to limit stimulus agreement as an explanation of choice ranking.

  5. usesdoi:10.18112/openneuro.ds006253.v1.0.3

    Analyzed processed high-gamma SEEG from OpenNeuro MetaRDK version 1.0.3.

  6. supportsdoi:10.1038/s41467-025-61744-8

    Source paper for the bipolar recording and 400 ms smoothing details of the supplied processed signal.

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