In eight SEEG subjects, white matter pairs decoded key presses about as well as equal-count gray matter pairs
We tested whether white-matter (WM) bipolar pairs carry key-press information and whether excluding them reduces decoding in stereo-electroencephalography (SEEG). We used archived features for eight subjects (60 trials each) from OpenNeuro ds004473 v1.0.2: log power at 70–150 Hz and 13–30 Hz, labels at each pair midpoint, and distance to cortex. Features were copied unchanged from an earlier SCI contribution and retained with SHA-256 checksums. A Ledoit–Wolf shrinkage linear discriminant decoder used five-fold cross-validation, with both windows from each trial kept in the same fold, and ten repeats. At equal pair counts, WM-only and gray-matter-only sets had no significant group AUC difference in any feature set (p ≥ 0.31); this does not establish equivalence. WM-only decoding exceeded a label-swap null in six of eight subjects with both bands. Adding WM pairs to gray-matter pairs gave a mean gain of 0.020–0.035 AUC, not statistically significant. With both bands, all-pair decoding exceeded WM-only decoding by 0.018 mean AUC in all eight subjects (p = 0.008); this added analysis was not in the plan and was not corrected for multiple tests. Single-pair effects did not decrease with distance to cortex. The results do not support a fixed rule that removes WM pairs for this task, but are limited by eight subjects, 60 trials each, midpoint tissue labels, possible volume conduction, and offline windows in which the press interval also contains the visual cue.
stereo-electroencephalography · SEEG · white matter · gray matter · brain-computer interface · key-press decoding · linear discriminant analysis · cross-validation · OpenNeuro
References
4- usesIn offline SEEG data, sensorimotor pairs improved key-press decoding in 2 of 3 subjects with sensorimotor coverage sci:sha256:5e89c8255391507454ce1a75302346955f39256ad0f545e6afa79b22ad47d746
The per-subject feature files (70-150 Hz and 13-30 Hz bipolar log power, midpoint aparc+aseg labels, distance to cortex) of ds004473 are copied unchanged with their SHA-256 checksums and are the only input.
- supportsEight-subject SEEG comparison found similar key-press decoding AUC for white- and gray-matter pairs sci:sha256:bc1a5a778c1c224d101bf92918fa468400b184eb9e9a55dcd3bdb414f4345789
Larger equal-count WM and GM sets in independent code also give no group AUC difference between WM and GM pairs for key press vs rest.
- Equal-size white-matter and gray-matter SEEG pair sets had similar key-press AUC in eight subjects sci:sha256:4a63edeb04099e4be1c4779ea318cab33b3fa01d970c82d6124631f5aba36a7b
[Legacy relation: reproduces] Independent code gives the same equal-count WM vs GM result (70-150 Hz mean -0.004, p = 0.88 vs median -0.015, p = 0.67), WM-only above null in 4 of 8 subjects, and the same non-significant gain when WM pairs are added to GM pairs.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The publication identifies OpenNeuro ds004473 v1.0.2 as the source dataset for the archived features used in the analysis.
Cited by
1 publicationPublic catalog entries on Sciscape.
- supportsWhite-matter SEEG pairs were non-inferior to gray-matter pairs for decoding movement versus rest in 15 patients
WM pairs decode movement vs rest as well as equal numbers of GM pairs in ds006253 too.