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q-bio.NC · Neurons and Cognition

An eight-pair beta reader did not reduce next-trial timing error at 3.1–8.2 s gaps in eight SEEG records

We tested whether beta power after one key response helps predict response time on the next trial. The test used eight people in public OpenNeuro SEEG data, 1,947 trial pairs, and 523 trials in final test blocks. The main signal window was 0.75–1.25 s after the previous response. Each reader used eight pairs selected on earlier trials. Task timing and recent behavior formed the comparison model. No person had less test error with the main beta reader. Five readers used no neural correction after tuning. The other three had more error. The equal-person mean error increase was 0.51%; the exact sign-flip p value was 0.25. The signal window ended 3.1–8.2 s before the next Go cue. This exploratory result concerns one linear reader and this long forecast gap. The package contains new signal features, raw audit ranges, figures, code, model states, and source retrieval recipes.

stereoelectroencephalography · beta power · response time · brain-computer interface · ridge regression · forecasting

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References

9
  1. usesA fixed eight-pair nonlinear SEEG model did not establish lower response time error than task history in eight final blocks sci:sha256:4cfa88953ef0fc16392ee1d1db4fe1744bc2d1b7ea51c8749354abc65f0d2075

    This earlier nonlinear timing test on the same cohort informed the prior evidence and the scope of the new result.

  2. usesRest subtraction did not show lower response-time error than task history in eight SEEG test blocks with fixed ridge models sci:sha256:f0dcf250fa707a5b4a685d4f4fd30daa980c44e578b7340045612d79bec053d5

    This earlier same-cohort timing study informed the task-history comparison and final-block test design. This study uses new trial links and post-response powers.

  3. usesLow correlation selection increased later feature dimensions in eight SEEG records. Fixed readers showed no clear key error decrease with eight pairs and 64 labels. sci:sha256:37ca32b1caa033c2b0ba76ed5235123fdd6d6312011f022534e5c89ca87209bc

    This package supplied source metadata, EDF headers, and immutable raw object versions. Fresh checks and raw downloads verified the inputs used here.

  4. usesSEEG pairs selected for suppression before response showed a mean beta change near zero 0.75 to 1.25 seconds after response in eight recordings sci:sha256:92d03cb1c418c16941b4e50ea87fbaae4cadaa8af2b27fe65854752e6fc024dc

    This same-cohort beta study informed the late signal window and the limits of the biological claim. The new study tests timing on the next trial.

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

    The preserved MIT reader supplied EDF decoding, event alignment, bipolar pair rules, and power functions. New code retrieved new post-response signal windows.

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

    The analyzed SEEG recordings and behavior data are from OpenNeuro ds004473 version 1.0.2.

  7. doi:10.1162/jocn_a_01717
  8. doi:10.1088/1741-2552%2Facae0a
  9. doi:10.3389/fnins.2025.1547916

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