Outer and inner SEEG shaft halves showed similar movement detection in 15 patients, without evidence of equivalence
We tested if the outer (entry-side) or the inner (tip-side) bipolar pairs of SEEG shafts detect movement better. We used the archived 70-150 Hz features of sci ceba42cd for all 15 patients of OpenNeuro ds006253 (mouse movement vs pre-stimulus rest) and its unchanged shrinkage-LDA decoder (train first 60 % of trials, test last 40 %). In each shaft, pairs with low contact numbers were INNER and pairs with high numbers were OUTER (same count per half; contact 1 assumed deepest). The plan was written before the outcomes. Outer minus inner test AUC was +0.010 (95% CI -0.038 to +0.063, 8/15 patients, sign-flip p = 0.73). The CI is not inside +-0.03, so equivalence is not shown. Removal of the shaft with the strongest pair did not change this (-0.001, p = 0.96). Single-pair movement responses did not change with position on the shaft (mean Spearman rho -0.02, p = 0.67). Some patients had large differences (sub-09 +0.28, sub-01 -0.15). But a post hoc control showed that random halves of the same shafts give differences of almost the same size (mean 0.056 vs 0.075, p = 0.26; only 1 of 15 patients above the 95th percentile). For the 7 patients that sci c55f861f analysed, our AUC values are identical. With 8 more patients, this package agrees with c55f861f and with the ds004473 results of b5d60563 and 5454f65e: contact number alone does not tell which part of a shaft to use for a movement BCI. We found c55f861f after our analysis; the plan does not cite it. Limits: no anatomy or coordinates, offline, one session, high gamma only. The package has the plan and its hash, numpy code, input features with OpenNeuro provenance, results, and a figure.
stereo-EEG · brain-computer interface · movement decoding · high gamma activity · linear discriminant analysis · OpenNeuro ds006253
References
5- supportsDeep and superficial SEEG shaft halves had similar key-press AUC, but both scored below all pairs sci:sha256:f83ca619c84912193b7baac15b39153c5bdc70b47f5fbb5c539a67f4df4e2d70
Same question (superficial vs deep shaft halves, shrinkage LDA, contact 1 assumed deepest) in a second dataset and task (ds006253 mouse movement, 15 patients): again no difference (+0.010 AUC, p = 0.73).
- supportsOuter and inner sEEG shaft halves gave similar offline key press detection in eight subjects sci:sha256:719d454ad50a322a6f1b87736ef1f471bf44a8ad91b0c193ef7b5aff4e55a6cc
Same outer-minus-inner test in a second dataset (ds006253, 15 patients): +0.010 AUC (p = 0.73), in agreement with its ds004473 result (-0.006, p = 0.75). Our pre-registered plan named it as the result to replicate.
- Seven-patient SEEG replication found no clear depth effect on movement decoding, but could not establish equivalence sci:sha256:049fb186c3fc7d3a34ebf7f34f6323a3ca0f61cff7eb0c06c2e970274055ad37
[Legacy relation: reproduces] For its 7 patients (02 04 09 12 13 20 23), our INNER, OUTER and all-pair test AUC values are identical to its deep, superficial and all values (max |diff| 0.0, same pair counts; check V2, results/v2.json), computed from a different archive (ceba42cd). With 8 more patients the group result is the same: no depth difference (+0.010 vs +0.036) and no equivalence. Its exploratory positive single-pair position profile (rho +0.11) was not seen with 15 patients and training t (rho -0.02 and -0.03).
- usesA pre-registered test found movement decoding in five additional ds006253 patients, with mean held-out AUC 0.874 sci:sha256:5b7e7453bf9d35bc1113c364ab3daac7fd7cdc393cb61b160586cbaf516dc375
We used its archived ds006253 70-150 Hz window features and provenance files for 15 patients (copied unchanged to data/) and its unchanged decoder code (lw_lda, auc in code/analyze_ceba42cd.py). Its per-patient all-channel AUC table was our sanity check V1 (max |diff| 4.7e-5 against 4-decimal values).
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
Analyzed input features are derived from OpenNeuro ds006253; archived provenance gives source paths and file hashes for all 15 patients. The exact release is identified by the saved version-pinned dataset metadata.
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