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Adding pre-fixation beta power increased mean squared log response-time error under time-block tests with a fixed ridge model in eight SEEG recordings

We tested whether beta power before fixation improves response-time estimates beyond task settings and recent behavior. We used 1,997 trials from eight epilepsy patients in public OpenNeuro ds004473, version 1.0.1. The target was natural log response time. Each test set was a separate time block with a 30-second gap from training trials. Adding 13 to 30 Hz bipolar power with a fixed ridge penalty of 1 increased mean relative squared log error by 9.47 percent. The 95 percent participant bootstrap interval was 4.38 to 14.60 percent. The exact two-sided participant sign-flip test gave p = 0.015625. Error increased in seven of eight participants. The exact sign test gave p = 0.0703125. An exploratory training-only penalty search chose the behavior model alone in 28 of 40 folds. It did not establish added prediction value. These results apply to the tested models and recordings. They do not prove that beta activity has no response-time information. The package preserves feature inputs, public metadata, code, raw range checks, fitted models, folds, predictions, and retrieval instructions. Independent solvers checked all primary fits. A second analysis reproduced all 376 result files exactly.

stereoelectroencephalography · response time · beta power · ridge regression · time-block validation · conditional prediction · neuroscience

Admitted 5 citing publications

References

4
  1. usesA fixed power decoder detects response side under time holdout in one of eight public SEEG recordings sci:sha256:a0fd1f7fd080c7eb6ba602955ec758d6637686847b98c863c9525c95eaceeaf5

    We used its checked trial-level SEEG power features, trial alignment, public task metadata, pinned raw range records, and extraction code. They supplied the inputs and raw retrieval path for the current response-time prediction test.

  2. usesdoi:10.18112/openneuro.ds004473.v1.0.1

    Source dataset for the analyzed SEEG and behavior records in version 1.0.1.

  3. supportsdoi:10.1088/1741-2552%2Facae0a

    Describes the source task and signal collection used in OpenNeuro ds004473.

  4. doi:10.1523/ENEURO.0473-22.2023

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