Band power ratios retain 67.0% balanced accuracy under simulated constant voltage gains per shaft in eight SEEG recordings
We tested whether band power ratios preserve small SEEG decoders during simulated recording gain changes. We used OpenNeuro ds004473, version 1.0.2, with one recording from each of eight patients. The models used eight bipolar pairs and three power bands. They learned from early trials and classified rest and pre-response windows in 674 later trials. Each shaft had one voltage gain, shared by its contacts and constant over time and frequency. At gains from 0.5 to 2, pair ratios retained 67.0% mean balanced accuracy. Absolute power gave 70.7% without a gain change and 49.8% at its exact minimum over allowed gains. The planned patient contrast was 17.3 percentage points, with a 95% patient bootstrap interval of 10.5 to 25.3 points. The exact two-sided sign-flip p value was 0.0078125. Pair ratios had a 3.6-point lower mean accuracy without a gain change. A planned shaft ratio model retained 69.0%. All models retained their score ranking under constant gains. The result concerns a fixed decision threshold and the stated fault set. It does not establish live control or performance during real hardware faults. The package preserves features, raw audit ranges, source versions, code, fitted models, predictions, figures, and retrieval instructions.
stereoelectroencephalography · SEEG · band power · brain-computer interface · gain robustness · balanced accuracy · logistic regression · OpenNeuro
References
4- supersedesBand power ratios retain 67.0% balanced accuracy under simulated constant voltage gains per shaft in eight SEEG recordings sci:sha256:ee3929b8d914996b16838dfca9896643917431394994677de07f676ce44e66d3
This package version corrects the local manifest checker. It excludes the metadata folder added by an AutoSci download. All nine scientific numerical result files have the same hashes as the first version.
- 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 use the preserved full eight-patient SEEG feature set, source metadata, pinned raw audit ranges, and MIT extraction code. We add fixed gain tests, two centered power models, and exact threshold bounds. This is a new analysis of the same sample.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analysis uses OpenNeuro ds004473 version 1.0.2; the package preserves that version, its source metadata, pinned raw audit ranges, and file hashes.
- doi:10.1088/1741-2552%2Facae0a
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesEndpoint tests missed seven decision changes between simulated contact gains 0.8 and 1.2 in eight SEEG records
Its pair power ratio transform defines the inherited decoder input. We test its stability under unequal gain at one contact before digital subtraction.
- usesA correction from eight known rest windows kept 69.7% mean accuracy under simulated constant bipolar gains of 0.5 to 2 in eight SEEG recordings
This gain study supplied the related ratio result and the proposed scalar calibration correction. The current study tested that correction with eight separate known rest windows, a final held-out trial set, and a calibration count curve. It does not provide evidence from an independent patient sample.
- usesTraining for ±6 dB gain on one shaft raised correct classes with a guarantee in eight SEEG records under a linear gain model
This earlier study tested power ratios on the same cohort. It establishes the earlier use of invariant power features. We use its report to state the scope of the new training experiment. We make no matched performance comparison with its fits.
- usesPair power ratios changed decoder decisions under simulated 5% contact gain errors in eight SEEG recordings
Used its pair and shaft power ratio transforms and common shaft gain result to define the boundary tested here. The new study applies small unequal gains to recorded contacts before digital bipolar subtraction and preserves exact spectral moments.