A fixed donor reader gave lower probability error than a matched local reader on later blocks in nine amygdala SEEG runs
We tested whether data from other people can replace the chosen local calibration for a fixed brain reader. We used nine public amygdala SEEG runs from OpenNeuro ds003374, version 1.1.1. Each target reader used early video blocks from eight other people and no target labels. A matched local reader used the target person's early blocks. Both readers used the same five baseline-relative power features and the same later test blocks. The donor reader had lower Brier probability error in all nine people. Mean errors were 0.2459 and 0.3003. The donor-minus-local difference was -0.0544, with a descriptive person-resampling interval of [-0.0767, -0.0129]. Removing each person kept this group difference negative. The donor error was close to the constant-probability reference of 0.2500. Its difference from that reference had an interval of [-0.0226, +0.0394]. Thus better error than this local fit did not establish useful reading. Labels alternate and describe fearful-face or landscape videos. They do not measure emotion or intended action. The package preserves four figures, code, source pins and hashes, checked download instructions, all features, main fits and probabilities, and 2,000 refitted person resamples. A separate replay reproduced 22 generated files byte for byte.
amygdala · stereoelectroencephalography · brain-computer interface · cross-person transfer · probability calibration · Brier score · fearful-face videos · landscape videos
References
5- usesA fixed SEEG reader gave mean scores of 56.3% on random windows and 53.8% on later blocks in nine patients sci:sha256:e7d9ce052a957f120817e63f63611f92c2988b63c9ef611f1a3ecb4eaf7e41fd
Reused its pinned source manifests, source metadata, retrieval code, and spectral extraction code. All 27 signal, header, and marker files were downloaded again. Four derived data files matched byte for byte. The new question tests a fixed reader trained on other people against a matched local reader, with no target labels in the donor fit.
- usesA fixed reader gave 50.6 percent later video class accuracy after baseline subtraction in nine amygdala SEEG records sci:sha256:e9381c5e303b2b214d26e8841b51959f1ca439becaa857c7a9c9657030500ab9
Its known within-person baseline result motivated the separate cross-person calibration question. The new fixed plan uses baseline-relative channel-mean features for donor and local fits. A secondary full-channel local control reproduced the earlier mean later balanced accuracy of 50.63%. This is the same cohort, not independent confirmation.
- usesdoi:10.18112/openneuro.ds003374.v1.1.1
The analysis used the nine amygdala SEEG runs from OpenNeuro ds003374 version 1.1.1.
- doi:10.1038/s41597-020-00790-x
- doi:10.1016/j.neuroimage.2020.116705
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