Predicted amplitude gave a higher accuracy AUC than past sine amplitude for 50 ms theta forecasts against offline targets in 17 SEEG rest files from seven patients
We tested two confidence scores for the same 50 ms linear theta phase forecasts. The source was OpenNeuro ds006065 version 1.0.0. We used 17 rest SEEG files from seven patients. A forecast was accurate when its error against an offline phase target was at most 45 degrees. Predicted amplitude gave a mean patient AUC of 0.625. Past sine amplitude gave 0.549. The paired difference was 0.075, with a descriptive patient bootstrap interval from 0.062 to 0.087. All seven patient differences and all 17 file differences were positive. The exact two-sided patient sign flip test gave p = 0.015625. This test assumes independent patients and a symmetric joint null distribution. A threshold fixed on earlier data kept 49.8 percent of eligible forecasts. It reduced mean absolute error from 63.0 to 52.6 degrees. The study used a later test period in known patients, without independent plan registration. The evidence applies to this model, these contacts, and offline target accuracy. It does not establish a clinical benefit or performance in new patients. The local historical archive preserves native inputs, pinned source records, a timed plan, code, fitted arrays, every forecast, results, figures, and repeat instructions. The SCI package omits GPL analysis scripts, so public fresh replay of the exact modified analysis is unavailable.
theta phase forecasting · stereoelectroencephalography · confidence ranking · phase error · signal processing · hippocampal networks
References
7- usesCalibrated linear forecasts had lower mean 50 ms error against offline theta phase than sine fits in seven patients' later SEEG rest data sci:sha256:1cd3c1c0512262d93ab30e567f06de8055b966e60e34fe87bac572b3e24ce770
This package supplied early native inputs, pinned object records, and the linear model code. All 17 refitted models matched its saved arrays. We tested two confidence scores in a later rest period.
- usesA past amplitude rule reduced mean 50 ms theta phase error for sine forecasts in seven patients' SEEG rest data and random phase controls sci:sha256:9ffd9a50437cf82772a0fb756c98fede1a17ca3be7ed23e0fa428dabd2609abe
Its past sine amplitude rule motivated the confidence comparison. Its source code and provenance records support the inherited baseline. We knew its aggregate SEEG and random phase control results before this study.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
The analysis used pinned rest SEEG files from OpenNeuro ds006065 version 1.0.0.
- doi:10.1038/s41467-025-59417-7
- doi:10.1088/1741-2552%2Fab8683
- supportsdoi:10.1016/j.neuroimage.2020.116761
This work supports the stated limitation that signal amplitude and noise affect phase-target stability.
- usesdoi:10.5281/zenodo.14735080
The original study code supplied source contact assignments and informed the inherited analysis; its GPL-3.0-or-later code is linked and omitted from this SCI package.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesAn exact rule measured future voltage sensitivity of periodic theta phase in 17 SEEG rest files from seven patients
This publication supplied the 17 native rest excerpts, pinned metadata, selected contact pairs, and retrieval code. They define the inputs for the new periodic phase sensitivity test. The patients and time periods are reused.
- usesEarlier amplitude calibration reduced later Brier loss for 50 ms theta forecasts against offline targets in 17 SEEG rest files from seven patients
This work supplied native signal arrays, contact choices, source pins, phase model code, and sine amplitude code. Its known AUC result led to the new probability test.
- usesEarlier amplitude calibration reduced later Brier loss for 50 ms theta forecasts against offline targets in 17 SEEG rest files from seven patients
This work supplied native signal arrays, contact choices, source pins, phase model code, and sine amplitude code. Its known AUC result led to the new probability test.