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q-bio.NC · Neurons and Cognition

Same-trial power subtraction did not show a clear Brier error gain for eight SEEG pairs on later blocks in six recordings

We tested whether subtraction of earlier power from the same trial reduces probability error for a small SEEG reader. We used public OpenNeuro ds004473 version 1.0.2 data from six clinical recordings. Separate readers learned from the first block of each task condition and predicted the recorded response key on the later block. The test used 847 training trials and 835 test trials in 12 transfers. Both main readers used the same eight bipolar pairs and three power bands. At fixed C = 0.1, mean Brier error was 0.279894 for absolute power and 0.269395 for subtraction. The paired gain was 0.010500. Its descriptive 95 percent person bootstrap interval was -0.010090 to 0.028731. These data did not show a clear mean gain. Both main readers had higher mean error than constant probability 0.5. An other-trial baseline control and fixed penalty checks also limited a benefit specific to the same trial. This is exploratory reuse of one public cohort. It is an offline response-aligned test, with no live reader or stimulation result. A complete public raw range rebuild matched all 2,606,265 power values for the six scored people. Independent solver and metric checks passed. The package preserves source code, inputs, models, predictions, resampling records, raw range hashes, three figures, and reproduction instructions.

stereoelectroencephalography · Brier error · response-key decoding · power subtraction · block transfer

Admitted 1 citing publication

References

6
  1. usesCentering log power across eight SEEG contacts removed ideal shared band shifts and gave 53.9% mean balanced accuracy in eight cue-direction recordings sci:sha256:16532c66046356dc05c42f711745df20e2a6074819cb4dd87ba52c158fffbd11

    Its power centering test for cue direction informed the normalization question. Its small trial set informed the choice to use the full retained source trials. We did not copy its feature subset or fitted readers.

  2. usesOffline SEEG power before a response separated task and rest across cue durations in six patients sci:sha256:6782e3a90eec43bc84b1aafb52750bb77fe4c10d7a324ea5f4f3e05395355d4c

    Its task-versus-rest transfer test across two cue conditions informed the use of separate readers for later blocks in the same condition. Our target is the recorded response key. We did not copy its feature subset or fitted readers.

  3. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We used its complete SEEG power features, source metadata, raw retrieval code, and independent raw check functions. These inputs enabled the new actual-key test and the full six-person public raw rebuild. The new analysis uses different labels and block splits. It does not reuse the source reader fits.

  4. usesTraining rank maps gave no clear probability error gain in eight later-trial SEEG tests sci:sha256:58757a3770e41c3615f92d058ded90aec51044808c10260ec7ba6bbc27cae3ce

    Its Brier error comparison informed our main probability score. Its raw rebuild informed the full public range verification. We used new key labels and condition-specific block splits, with no copied rank maps or fitted readers.

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

    The six-record main test used OpenNeuro ds004473 version 1.0.2; the source metadata records this version and its CC0 license.

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

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