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q-bio.NC · Neurons and Cognition

Balanced choice pattern products gave an uncertain mean rise after movement in 19 offline SEEG records with baseline SD scaling

We tested whether balanced choice mean patterns had larger products between early and later trials after movement than before movement. We used public MetaRDK SEEG data from OpenNeuro ds006253 version 1.0.3. Equal weights for four direction-by-choice cells separated visual, inferred choice, and correctness mean codes. Nineteen people met the count rules. With early baseline SD scaling, the mean choice difference was 0.003844. Its 95% person bootstrap interval was 0.000200 to 0.008380. Fourteen people had an increase. The exact two-sided sign-flip test gave p = 0.0770. Two other scales had positive means, but their intervals included zero. The evidence does not establish a reliable increase across scales. The product combines amplitude and alignment. Source smoothing and pooled baseline correction limit use for live BCI claims. The package contains all 21 compact inputs, person results, four figures, code, source versions, hashes, and instructions. Independent arithmetic checks passed. A clean replay reproduced all 27 numeric result files byte for byte. We also retrieved all 44 small source metadata files and rebuilt one signal input from its pinned public source. All matched. The other signal inputs retain inherited source receipts. This is an exploratory benchmark on a reused cohort.

stereoelectroencephalography · SEEG · choice decoding · mean pattern · brain-computer interface · pattern products · OpenNeuro · MetaRDK

Admitted 1 citing publication

References

7
  1. usesOffline SEEG models increased mean choice AUC by 0.101 after movement within visual directions in six additional MetaRDK participants sci:sha256:3175bc53236feacbdeeb4dee8df313532afbbc2a03b20be5e9555f4d8a583009

    This work supplied the expanded compact cohort through the direct parent. The new test used those compact inputs and records.

  2. usesSEEG readers fitted after movement lost 0.085 mean choice AUC before movement in 14 offline tests with eight channels at penalty 10 sci:sha256:afc193e3e7276ac2050c6767972df7be341ef82952059b93d7719fc61d52d876

    Source extraction and bounded retrieval code from this work were used through the direct parent. We inspected the code and used it to rebuild one compact input from its pinned public source.

  3. usesSEEG readers with all pairs and eight pairs gave mean choice AUCs of 0.580 and 0.563 after movement in 19 offline tests sci:sha256:b1ce5eff3e0ddb1a4732b13ccdc9f1e171406635a55c195e8856b97c8ecc4bbf

    This direct parent supplied the 21 compact SEEG inputs, metadata, source receipts, preparation rules, and inspected retrieval code. Its classifier results motivated this separate mean-pattern test.

  4. usesOffline SEEG readers with eight contact pairs and penalty 10 gave mean choice AUC 0.526 across opposite cues in 19 MetaRDK participants sci:sha256:c22d122d956476b6b42bf2d4ff09d54b02692d4e2c7e7005a613581a561a487f

    Trial and contact rules from this work were used through the direct parent. We retained these rules and added direction-by-choice cell counts for the mean-pattern test.

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

    This is the recorded exact-version MetaRDK dataset used for the compact SEEG inputs and metadata.

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

    Background source paper for the MetaRDK task, processing description, and reported smoothing.

  7. doi:10.1016/j.neuroimage.2015.12.012

    Background reference for established products from separate data sets and noise scaling.

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