A fixed logistic model had lower mean seizure onset ranking AUC with two added power variation features in 18 SEEG test patients
We tested whether variation in low frequency SEEG power added information beyond median power and contact number. The public data were from OpenNeuro ds004100 version 1.1.3. We used 4,252 contacts from 36 patients. We fitted fixed logistic models in 18 patients and tested them in 18 other patients. Adding two power variation features reduced mean patient AUC from 0.7490 to 0.7416. The mean change was -0.0075. A 95 percent interval was -0.0633 to +0.0169 after training patients and evaluation patients were resampled and the models were refitted. This interval includes zero. It does not establish equal model performance. The source cohort had earlier analyses. Independent raw checks passed for 199 contacts in two records. A complete second run reproduced every main result file exactly. The package preserves code, window powers, source records, scores, resampling draws, figures, and repeat instructions.
stereoelectroencephalography · seizure onset zone · power variation · patient-level AUC · logistic regression
References
6- usesAverage references reduced low frequency seizure onset ranking AUC in two short SEEG recordings from each of 36 patients sci:sha256:ac5e50a0fe3911b4b562b31f3ee7fb2ab9caf8fe9695b3ad882f2c66ce6e9f33
This publication supplied window powers, source metadata, channel rules, extraction code, and pinned EDF retrieval records. We preserved its source files and independently rebuilt 15 windows from each of two raw records.
- usesA fixed spectral random forest had higher mean AUC with contact tests than patient tests in 36 SEEG patients sci:sha256:f69d5a4db14ad18c65c12e5d58c29dfdbe5f00e0b48001fdc223be44e8e49fa9
This publication supplied the four spectral feature conditions and the matched mask for 4,252 contacts. We rebuilt the features from source powers and tested the added value of two variation features.
- usesLower contact numbers ranked source onset marks with mean AUC 0.671 in 36 SEEG patients sci:sha256:013eb3cce926c8002b6afcff4255562722653fb99a3592d9606dfbb7f08ec19c
Its contact number result motivated the two contact name inputs. These inputs form a simple baseline before median power and power variation are added.
- doi:10.18112/openneuro.ds004100.v1.1.3
- supportsdoi:10.1088/1741-2552%2Fac90ed
This study reports that electrode sampling information predicts SOZ marks, supporting the sampling baseline discussed in the report.
- doi:10.1038/s41598-019-42347-y
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