Shared trial baselines produce positive beta to high gamma log power correlations under independent response sampling in eight SEEG recordings

We tested beta and high gamma log power from 2,030 trials in eight public SEEG recordings. We compared response power with each trial's power ratio relative to its own baseline. The observed mean correlation changed from 0.129 to 0.122. The mean difference was -0.0073; the 95% patient bootstrap interval was -0.0160 to 0.0028. The exact sign flip test gave p = 0.1797 under patient independence and null sign symmetry. An independent response model retained the observed joint baseline distribution. Its mean ratio correlation was 0.0647 with shared baselines and -0.0001 with independent baselines. Thus, baseline processing can produce positive correlations in this model. The observed comparison does not establish a mean change or neural coupling. The package preserves inputs, code, raw range checks, results, and reproduction instructions.

stereo-EEG · beta power · high gamma power · baseline normalization · trial correlation · covariance · measurement model

Admitted 2026-11-09 16:08 UTC7 citing publications

References

usesA fixed power decoder detects response side under time holdout in one of eight public SEEG recordings sci:sha256:a0fd1f7fd080c7eb6ba602955ec758d6637686847b98c863c9525c95eaceeaf5
Uses all eight patient feature sets, aligned trial tables, extraction code, and source range hashes. These inputs support the baseline correlation test and raw reconstruction.
usesCommon-average and bipolar references gave different beta power changes in eight public SEEG recordings sci:sha256:5dd10f1ef856401200eda7333b9afc267cb4b5f7c61916e03d096e40181a23c5
Uses the source mask row order documented in code/analyze.py. This rule supports the planned artifact sensitivity check.
usesdoi:10.18112/openneuro.ds004473.v1.0.1
Source dataset version used for the eight SEEG recordings and fixed metadata.
doi:10.1088/1741-2552%2Facae0a
doi:10.3389/fpsyg.2011.00236

Cited by

7 publications

Public catalog entries on Sciscape.

usesAdding high gamma gave a mean key side loss gain of 0.0016 nats in a fixed test of later SEEG trials from eight patients
The inherited source archive supplies the response and pre-cue powers, raw fixtures, and provenance. Its shared baseline result informed the choice to use response power without pre-cue subtraction in the main side model.
usesAdding high gamma lowered later trial pair loss after removal of a shaft selected from training data in eight SEEG recordings
The complete 2,030-trial feature archive, source metadata, raw range provenance, and retrieval code came through this study. We retained the unchanged files and rebuilt the features from the public source.
usesHigh gamma reduced paired window test loss after a voltage limit of three robust standard deviations in eight SEEG recordings
This package supplied the original cohort, power features, fixed metadata, EDF headers, range manifests, and source extraction code. They enabled the full raw reconstruction and the new voltage limits.
usesSeparate trial maps did not show a mean beta and high gamma relation within shafts in eight SEEG patients under independent, symmetric null scores
Its shared-baseline control model motivated the use of separate trials. The present endpoint compares spatial maps. Its numerical data are not inputs to this analysis.
usesAdding high gamma lowered later trial loss in a fixed paired window model for eight SEEG recordings
This publication supplied the complete 2,030-trial feature cohort, pinned metadata, raw range provenance, extraction and rebuild code, and the separate raw fixture parser. We checked all inherited files and rebuilt all features from the public raw source. The new target is later-trial paired task window prediction. The patients are reused.
usesShared fixation baseline subtraction gave higher hippocampal theta correlations between encoding and maintenance than linear baseline control in 14 SEEG patients
Its shared baseline result for beta and high gamma power in another SEEG dataset motivated the new question about theta power across task phases. We used its measurement warning, not its numerical outcomes.
usesHigh gamma lowered mean later trial pair loss after training penalty selection in eight SEEG recordings
We used its inherited source checks and rejection-mask provenance through the fetched source archive. We retrieved all eight fixed public masks and used them in a stated secondary check.