A 12-trial confidence update lowered Brier error versus an offset but had higher error than a class-rate constant in 15 SEEG session tests at C = 0.1 under assumed timing
We tested whether 12 labeled trials in a later session can improve the probabilities from a fixed SEEG reader. We used public OpenNeuro ds004752 version 1.0.1 and first and last numbered sessions from 15 patients. The reader used eight fixed bipolar pairs and 24 power features. We assumed fixation at epoch seconds 0 to 1 and delay at 4 to 6. Training used 607 trials. Calibration used 180 early trials. Testing used 450 separate later trials. At reader C = 0.1 and calibration penalty 2, a bounded slope and offset gave mean Brier error 0.220028. An offset alone gave 0.236490. The paired change was -0.016462, with a descriptive 95% patient bootstrap interval of -0.027299 to -0.007158. However, an early class-rate constant gave lower error, 0.210542. A fixed half slope gave 0.217827. Shuffled early labels gave mean error 0.219967. Thus, the probability error decrease did not establish better signal reading. The gain was much smaller at C = 0.01. The cohort and test rows have prior use. These are offline task tests, with assumed timing. The package preserves code, data inputs, predictions, figures, source records, full signal-window checks, and repeat instructions. The study tested no live control or stimulation.
probability calibration · brain-computer interfaces · SEEG · Brier score · session transfer · label shift
References
7- usesPhase-lag features showed no clear error decrease across sessions for eight-pair SEEG load readers in 15 patients under assumed timing sci:sha256:fa4a6cd1b36f6c20a39b7e6aa3e07566413481144b7d53e73737f3bd913a3cb1
The fixed eight-pair Hann reader inputs passed through this work. We kept those pair lists and feature rules fixed for the calibration test.
- usesEight SEEG pairs showed no clear gain over fixation for letter load across sessions in 15 patients under assumed epoch timing sci:sha256:1c0c74901b6082055c1889d816c6520f050a9fff799c8dce26e8f044f7ce2e9a
This work supplied the source retrieval and trial alignment lineage for the selected OpenNeuro sessions. We used the inherited source paths, event rules, and fixed signal ranges to check the public bytes again.
- usesUnlabeled class rate updates from 12 trials showed no clear Brier error decrease in 15 SEEG session tests at C = 0.1 under assumed timing sci:sha256:3dbf6d6640a3c9d3f69750382c08f92880b7d732571cd1681594ffd9e301c8b8
This work supplied the fixed 15-patient inputs, source records, and reader and class-rate functions. We kept its cohort and later test rows fixed. We added a labeled slope and offset update and controls.
- usesThree DPSS tapers showed no clear Brier error decrease across sessions in 15 SEEG load readers at C = 0.1 with fixed pairs and assumed timing sci:sha256:813268730857708226ee6a4c0c72d19f895fce4597de6d5fcda59405a14b1bf3
This work supplied the Hann power inputs through the direct parent. We used its three-band power features and checked them against fresh public signal windows.
- usesSelection of eight SEEG pairs before four-fold validation increased scores for shuffled load labels in 15 patients sci:sha256:f17517a3b8149c42a11bd270f93adf0beb753802a20ca25f66a78e84ba85a44b
This work is the source of the inherited training-based contact selection. Our results assume those fixed lists. We did not repeat or optimize contact selection.
- usesdoi:10.18112/openneuro.ds004752.v1.0.1
This is the OpenNeuro ds004752 version 1.0.1 dataset used for the recorded SEEG session tests.
- doi:10.7554/eLife.78677
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.