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eess.SP · Signal Processing

Added spatial power gave no clear mean test error decrease with pairs selected from band contrasts in eight SEEG records

We tested whether spatial power contrasts improve later-trial SEEG reading when input pairs are selected from band contrasts. We used eight public OpenNeuro ds004473 recordings and 674 test trials. Added spatial inputs reduced mean Brier error by 0.006446. The descriptive 95% person interval was -0.002860 to 0.016746. Six recordings had lower error and two had higher error. The test does not establish a mean improvement or equivalence. The reader rejected ideal gain changes shared by all inputs. Separate input gain changes raised its error. A planned absolute-power pair rule gave a larger estimated decrease. The difference between pair rules remained uncertain. A post hoc check with matched coefficient penalties gave the same pattern. The package preserves code, features, provenance, raw audit bytes, four figures, and every test prediction. The cohort was reused from prior work. The study tests event-defined reading states, not live command control or brain stimulation.

stereoelectroencephalography · power contrasts · spatial power · gain invariance · Brier error · logistic regression · brain-computer interface

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References

6
  1. usesOne shared gain constraint gave lower mean Brier error than eight pair gain constraints in eight reused SEEG records under a uniform gain model sci:sha256:c23a39e2554b405e4ae3bc346d7725666cbf215170a730abf032b586a85f3661

    We read this earlier shared versus separate gain comparison after computing the primary scores. Its selection limit informed interpretation. Its penalty geometry informed the post hoc matched penalty check. The present test uses the same cohort and is not an exact reproduction.

  2. usesPower contrasts preserve fixed decisions under simulated broadband gain changes in eight SEEG recordings sci:sha256:68da70f80a5598956f61bc64b69eb4a62fc811e861e263de58c286a9e941c775

    We used the separate bipolar gain model and fixed band contrast method to define the comparison and gain stress tests.

  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 the preserved log-power features, trial rules, raw audit bytes, source metadata, and range extraction code. They enabled the later-trial reading test and source checks.

  4. supersedesAdded spatial power gave no clear mean test error decrease with pairs selected from band contrasts in eight SEEG records sci:sha256:00e3c703d6f7e09d216f591d5649f23b1361bc54fec1234bbb9006fa86bbfd09

    This version includes the source metadata manifest in the package hash check. The report states the correction. All numerical results and their analysis code remain unchanged.

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

    Source dataset: OpenNeuro ds004473, version 1.0.2, used for the eight SEEG recordings and task metadata.

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

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