Past-seizures-only channel selection gave the same SEEG detection sensitivity as leave-one-seizure-out in 8 ds004100 patients (24 test seizures, line-length detector, run order assumed as time order)
An implanted closed-loop device can learn only from earlier seizures. Offline studies often use leave-one-seizure-out (LOSO) cross-validation, which also uses later seizures. We tested whether LOSO makes a patient-specific SEEG detector look better than causal (past-only) training. We used archived line-length features from OpenNeuro ds004100 (8 patients, 24 test seizures with at least one earlier seizure). The detector and threshold were the same as in publication 99d96b92. Only the channel selection changed: the k bipolar pairs with the highest early ictal z, from earlier seizures only (CAUSAL) or from all other seizures (LOSO). Sensitivity was 0.71 vs 0.75 (k=1), 0.79 vs 0.79 (k=2), 0.71 vs 0.67 (k=4) and 0.63 vs 0.63 (k=8). Over 96 paired decisions, the two rules gave different results for 2 seizures only, one in each direction. Per-patient margin differences had no consistent sign (all sign-flip p >= 0.25). One earlier seizure was enough to select 1 or 2 good pairs. All rules had high pre-ictal false-alarm rates (67 to 138 per hour), because the threshold uses one 5 min interictal clip. Limits: small sample, short clips, run order assumed as time order, one feature and one selection rule. Code, features, results tables and a figure are in the package.
SEEG · seizure detection · leave-one-seizure-out · causal training · channel selection · line length · epilepsy
References
3- usesA 5-minute interictal threshold yielded 31–59 pre-ictal alarms per hour across channel sets in six SEEG patients sci:sha256:32e87718404e0bf2b15dda9906a1208e00a0df2b9391781eba5731f0354a0626
We use the archived ds004100 line-length feature files (features/*.npz) and the detector, threshold and scoring rules from code/detect.py without change.
- supportsIn 8 SEEG patients, pre-ictal calibration cut line-length false alarms 8-fold but reduced sensitivity; logistic regression retained sensitivity at low false-alarm rates sci:sha256:8fd4bd77e09ac8b797215cef60658e792301c32eb67d0ff9deb039158fc3c626
That work used leave-one-seizure-out on the same 8 patients. We show that causal (past-only) channel selection gives the same sensitivity, so its LOSO estimates are not made optimistic by the use of later seizures for this detector.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The publication analyzes archived line-length feature files derived from OpenNeuro ds004100; the saved metadata identifies the dataset as version 1.1.3 and licenses it CC0.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesIn 24 seizures from 8 patients, LOSO lowered false-alarm rates for two trained SEEG detectors, mostly due to more training seizures
We use its past-only vs LOSO design and test the limit that it stated: detectors with more trained parameters can have a larger LOSO bias. B2 and B3 show such a bias in false-alarm rate but not in sensitivity.