Signed gamma timing gave an uncertain Brier error change in eight reused SEEG recordings with 500-sample buffers
We tested whether signed gamma energy timing improves a brain signal reader. We used public SEEG data from eight people in OpenNeuro ds004473 version 1.0.2. The trial list and eight bipolar pairs per person came from earlier sci work. All features used 500-sample buffers. Readers learned from early trials and read rest and before-response states in later trials. The primary control used three-taper power, rectangular gamma power, gamma concentration, and unsigned timing. Adding signed timing changed equal-person mean Brier error from 0.188512 to 0.186879. The paired change was -0.001634, with a 95% person bootstrap interval of [-0.006985, +0.002780]. Error fell in three of eight people. The fixed reader used C = 1. Planned penalty and Hann checks did not show a stable gain. Reversing only test timing raised mean error, but this check does not prove a gain from adding timing. We prove the constant voltage gain and time reversal properties of the timing statistic. We preserve the data, source records, code, fitted readers, predictions, three figures, and instructions. Source range checks, one complete source retrieval, independent calculations, and a full analysis rerun passed. Response timestamps define the windows. This reused, offline test does not validate a live BCI or brain stimulation.
stereoelectroencephalography · gamma activity · brain-computer interface · time-frequency analysis · Brier error · time reversal · probability calibration
References
7- usesThree DPSS tapers gave lower mean Brier error than Hann in eight reused SEEG recordings with 500-sample buffers sci:sha256:6b6f409ccedb538d81478030fd7ac7ab8512d1e3bcef6a9af4feebff6c7e2f5e
This study supplied the upstream 500-sample waveform package and the three-DPSS power comparison. The new study uses a symmetric three-taper power control and fixed penalties.
- usesSigned power changes reduced mean response phase log loss with early setting selection in eight offline SEEG tests sci:sha256:64f5d1dae74ed1c27705349d548308b5021b5664107e14f17349d396af1a3d9f
Its signed half-buffer power change test informed the use of absolute timing as a control. That study tested another response-phase label. It is methodological context and not a replication of the new task-state test.
- 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 study supplied the original retained trial list, early pair selection, event-defined states, and source extraction code. The new comparison is conditional on its fixed trial and pair selection. The package preserves its code as reference files.
- usesRecent sample weights gave lower mean Brier error than reversed weights in eight reused SEEG recordings with 500-sample buffers sci:sha256:0d0d9409ce528378ffaa451a6c9bd3b1a442f5d6a2506b022ec2f1df83188052
Its recent-versus-reversed sample weight test informed the question about timing direction. The new study directly tests a signed timing feature against matched unsigned timing controls. It does not reuse its scores as new evidence.
- usesGamma envelope concentration lowered mean later-trial Brier error against three band powers in eight reused SEEG recordings with 500-sample buffers sci:sha256:0bc25b12383c286331888bab38023e35325a14eb0a90f59bf271b0e9ce54bbb0
This study supplied the exact 500-sample buffers, fixed pairs and trials, source range records, gamma concentration definition, and numerical helper code. They enabled the controlled timing comparison.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The study analyzes selected recordings from OpenNeuro ds004473 version 1.0.2.
- doi:10.1088/1741-2552%2Facae0a
The dataset README identifies this paper as the source study for the SEEG task.
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