State centering changed mean beta–gamma power correlation by 0.00055 in later rest and pre-response windows from eight SEEG recordings
We tested beta–gamma power correlation in public motor-task SEEG from eight people. The source was OpenNeuro ds004473 version 1.0.2. The test used 834 adjacent contact pairs and 674 later trials. Each trial supplied rest and pre-response windows. State centering changed mean Pearson correlation from 0.11969 to 0.12024. The paired change was 0.00055, with a descriptive 95% person interval of −0.00183 to 0.00265. Eight pairs per person, selected with early trials, had a larger mean change of 0.01545. In a secondary test, beta reduced later gamma squared error beyond a reference with known state labels. The mean pair-relative error decrease was 5.90%, with a 95% person interval of 1.35% to 11.84%. Gains varied from 0.15% to 20.33% across people. Beta and gamma came from the same window. These reused clinical data do not establish a neural interaction, live BCI gain, or stimulation effect. The package preserves features, source pins, code, models, predictions, three figures, independent checks, and reproduction instructions. Fresh raw checks covered one trial per person. A separate analysis run reproduced all numerical results exactly.
stereoelectroencephalography · beta power · high-gamma power · brain-computer interfaces · state centering · power correlation
References
3- usesBeta selection gave lower high-gamma reader accuracy than gamma selection in later trials from eight SEEG recordings sci:sha256:106f8a5c449affdc6d525f9a822fc65b3c0cda53615f1491b07c92a0b4ea78b1
The prior study compared spatial maps of beta and gamma task effects. Its result motivated a separate question about window-to-window power dependence within each pair. We did not reuse its result as a test of the new question.
- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
This source supplied all eight feature files, trial tables, exclusions, pinned metadata, raw audit segments, and the native EDF extraction code. We kept its trial split and quality rules. They enabled the new within-pair power relation and later-trial prediction tests.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
This version of OpenNeuro ds004473 supplied the public SEEG data analyzed in this study.
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