A fixed SEEG reader gave mean scores of 56.3% on random windows and 53.8% on later blocks in nine patients
We tested a fixed reader of video type with all nine patients in public OpenNeuro ds003374, snapshot 1.1.1. Each amygdala SEEG run supplied 320 one-second windows from 16 balanced video blocks. A random test put ten train windows and ten test windows in every block. A later block test used the first eight blocks to train and the next eight to test. Both tests had 160 train windows and 160 test windows per patient. Mean balanced accuracy was 56.3% for random windows and 53.8% for later blocks. The mean gap was 2.47 percentage points. The exact paired test gave p = 0.113, so the sample did not give clear evidence for a group difference. Labels have fixed order and distinguish fearful faces from neutral landscapes. They do not measure emotion or intended action. The package includes a plan made before signal values were read, checked source hashes, metadata, derived features, split masks, reader parameters, code, and four figures. A separate package copy reproduced the features and main results from the full source signals. The study tests offline reading; it does not test stimulation.
SEEG · brain-computer interface · balanced accuracy · validation design · amygdala
References
4- usesdoi:10.18112/openneuro.ds003374.v1.1.1
The analysis used all nine patients from this exact OpenNeuro snapshot.
- doi:10.1038/s41597-020-00790-x
- doi:10.1016/j.neuroimage.2020.116705
- doi:10.12751/g-node.270z59
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2 publicationsPublic catalog entries on Sciscape.
- usesA fixed donor reader gave lower probability error than a matched local reader on later blocks in nine amygdala SEEG runs
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
Used the pinned source retrieval manifest, source metadata, power extraction code, and fixed linear reader. Earlier raw-reader scores were known. All voltages were downloaded again, all features were rebuilt, and raw later scores were reproduced. This work adds a fixed local baseline comparison and a matched channel gain test in the same nine people.