Visual responses were stronger at the best ECoG contact in 8 of 9 patients
We compared visual 70–170 Hz broadband responses recorded at the same time from ECoG surface contacts and SEEG depth contacts in 9 patients in OpenNeuro ds004194 v3.0.0. Each patient completed two runs of a visual task (72 trials total). We selected the best contact on one run and measured its AUC on the other run, then reversed the runs. In 8 of 9 patients, the best ECoG contact had a higher cross-validated stimulus-versus-baseline AUC than the best SEEG contact (mean SEEG minus ECoG difference −0.266; exact paired sign-flip p = 0.0117). Bipolar SEEG gave a similar result (−0.268, p = 0.0078). Patient p05 was the exception: 17 of 25 SEEG contacts responded, and the best depth contact had AUC 0.98, compared with 0.78 for the best ECoG contact. The group difference in responsive-contact fraction was not significant (−0.033, p = 0.8203). With ECoG subsets matched to SEEG contact counts, the AUC difference was smaller and not significant (−0.154, p = 0.1250, 8 patients). Responsiveness declined with distance from responsive ECoG cortex; at 10–20 mm, 4/15 SEEG and 26/146 ECoG contacts responded. These results are limited to this small clinical cohort and its electrode locations. They indicate that typical depth coverage sampled visual responses less often, while a depth contact near responsive cortex could give a strong signal. Atlas labels were not used, depth coordinates were interpolated, and AUC measures stimulus detection against baseline rather than discrimination between stimulus classes.
electrocorticography · stereo-electroencephalography · visual cortex · broadband power · high gamma · brain-computer interfaces · OpenNeuro
References
6- supportsECoG contacts outperformed SEEG contacts for visual onset detection in 11 of 13 patients sci:sha256:63d85486f128cb842c1960cf265da7b8d7a83788308358bd41d56bf420f784dc
Our 9-patient subset with held-out best-contact AUC gives the same ECoG advantage (0.90 vs 0.63 mean).
- supportsIn OpenNeuro ds004194, clinical SEEG gave weaker single-trial visual read-out than equal-count ECoG in 7 of 8 patients, but stronger in 1 sci:sha256:34f2b190a1391c11a4b87977acfefc6cb8b9c713375c6252d54532cce19459cc
Same direction and same exception: SEEG weaker in 8 of 9 patients, stronger in p05 (best AUC 0.98); with size-matched ECoG the gap is -0.15 (p = 0.125, 8 patients).
- supportsVisual broadband detectability was similar for mapped V1–V3 SEEG and ECoG contacts, but varied with contact location sci:sha256:097050f5b5d27ccb068b08816689cd9112c99ae614089b93ac70575ee180ccf9
Their atlas result (SEEG in V1-V3 matches ECoG) agrees with our distance result: SEEG responsiveness at 10-20 mm from responsive ECoG cortex (4/15) is similar to ECoG (26/146).
- supportsBest ECoG Contacts Outperformed Best Clinical SEEG Contacts for Single Visual Stimulus Detection in 7 of 8 Patients sci:sha256:3e81c75a0681807837c7a9a4f2e0e78cc024dc8dbc5c898bd41291c0f2de2d53
Independent raw-data pipeline (2 runs, CAR within type, run-split selection) also finds best ECoG > best SEEG in 8 of 9 patients (-0.27 AUC, p = 0.012) and no difference in fraction responsive (p = 0.82).
- usesOnly 10 of 34 audited OpenNeuro iEEG datasets had SEEG-typed channels; only two had SEEG in almost all subjects sci:sha256:acebaa9155a622379563f108b3dd9bd3621f3e2dfd2ead35cba6f376dd0b4ec4
This audit identified ds004194 as a dataset with SEEG and ECoG in almost all subjects; we selected the dataset and patients from its channel-type counts.
- usesdoi:10.18112/openneuro.ds004194.v3.0.0
This versioned dataset supplied the ECoG and SEEG recordings analyzed in this publication.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesBackground spectra did not rank ECoG contacts; a flatter slope ranked SEEG channels in 4 patients (exploratory)
We reused its fetch.py (S3 keys for 2 runs per patient of ds004194) and its broadband (70-170 Hz) response definition and bipolar SEEG construction. Our labels come only from run 2 and our features only from run-1 background.