Ordered frequency gains from seven other people increased normalized SEEG forecast error over one local gain with five fit pulses at 86 selected pairs
We tested whether frequency gains from other people improve a SEEG response forecast made from five local pulses. We used 86 fixed selected stimulation/readout pairs in eight people from OpenNeuro ds004696 version 1.0.1. Each shared fit used seven other people and excluded all data from the test person. The final five pulses at each pair supplied the primary error test. Shared ordered frequency gains increased mean normalized error by 3.25% over one local gain. Error increased in six of eight people. Exact person resampling with repeated shared fits gave a descriptive 95% range of 0.96% to 6.43% increased error. All eight public derivative files passed fresh full-file hash checks. Saved voltage arrays matched exactly. A clean copy reproduced all ten analysis result files. The package preserves code, voltage windows, native event maps, source versions, results, and three figures. This is an exploratory offline test in a reused clinical cohort. It does not establish online BCI performance or stimulation benefit.
stereoelectroencephalography · SEEG · forecast error · frequency gains · brain-computer interfaces · calibration · cross-person transfer
References
5- usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418
We retained its first-five-pulse readout choices through the input study. All 86 selected stimulation/readout pairs were fixed for this comparison. We did not repeat the selection among candidate readouts.
- usesOrdered cosine gains increased mean normalized SEEG forecast error over one global gain with five fit pulses at 86 selected pairs in eight people sci:sha256:3cf7cb8d1b79e11410ef729bb299377b4348ee24a8be3a394c01c68bc74c182e
We used its fixed voltage windows, pulse maps, local fitting rule, and saved baseline errors. We reproduced all 128 primary baseline person error entries. The new test fit shared frequency gains with all data from the test person excluded.
- usesA fixed background power rule increased 20 to 500 ms SEEG size forecast error after five calibration pulses in eight sessions sci:sha256:b8e5ae61a5b00cfa06f9294e3694b2df810dda59e3ec09aa69ad2cbe63b674c4
We adapted its public derivative retrieval and voltage extraction recipe. The new run checked all eight full derivative files and reproduced the fixed voltage windows. The package retains the source processing code and license.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The study used processed crp.mat derivatives from OpenNeuro ds004696 version 1.0.1.
- doi:10.1523/JNEUROSCI.2201-22.2023
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