One-second 80–150 Hz power rank persistence gave mean within-group SOZ AUC of 0.466 in 30 SEEG patients
We tested whether the time order of fast power helps identify clinical seizure onset zone (SOZ) labels. The source was public SEEG data from OpenNeuro ds004100 version 1.1.3. We used the first 60 s of two interictal runs per patient. The score was rank persistence of one-second 80–150 Hz bipolar power, with 118–122 Hz excluded. The primary sample had 537 pairs in 69 contact name groups from 30 patients. Each group had both label classes. The mean area under the receiver operating characteristic curve (AUC) was 0.466. The 95% patient bootstrap interval was 0.391 to 0.541. The two-sided patient sign-flip test gave p = 0.396 under independent, symmetric patient effects. The test did not detect a label relation. This result does not prove that the relation is absent. Pair persistence ranks had weak agreement between clips in all 34 input patients: mean Spearman correlation 0.155. The package gives a finite permutation calibration proof, code, inputs, results, and source retrieval instructions. Fresh pinned source downloads reproduced all 68 power files with zero numerical difference. A second analysis run reproduced all statistical outputs. The study tests short fixed clips and clinical labels. It does not test surgical benefit.
stereoelectroencephalography · seizure onset zone · rank persistence · interictal EEG · high-frequency power · AUC
References
4- usesTime concentration of 80–150 Hz SEEG power gave a mean AUC of 0.706 for seizure-onset labels in 34 patients with two 60 s clips each sci:sha256:1f5be9e5c88e4ff8065fcb38d242d64e32c8801f49e8f30af1fa36489bb1cf50
We reused its 68 window-power files, source metadata, retrieval records, and extraction code. Fresh source downloads reproduced these inputs. This study tests power rank persistence with a local contact group contrast in the same cohort.
- usesReference choice changed relative 30–55 Hz power AUROC by 0.111 on average in two 60 s clips from 35 SEEG patients sci:sha256:d441c426f62a09b3b78933ca35f4c191a45f8076d63d922c1013d1d697a54791
We use its source_io.py reader through the concentration publication. The preserved reader decodes pinned EDF prefixes, calibrates signals, and constructs labeled adjacent bipolar pairs.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The analysis uses the first 60 s of two interictal runs per patient from OpenNeuro ds004100 version 1.1.3; this exact source release is identified in the report and pinned dataset metadata.
- supportsdoi:10.1212/WNL.0000000000004998
The report cites this study as evidence that high-frequency oscillation rates and amplitudes vary across brain regions; it distinguishes detected events from the band-power measure analyzed here.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesIndependent calculations reproduced a test that did not detect an 80–150 Hz window adjacency difference in 30 SEEG patients under numeric pair rules
We read the earlier full-rank persistence analysis before the local plan. It supplied context for the fixed local comparison cohort.
- usesTime clustering of the six largest 80–150 Hz power windows gave a mean local seizure onset difference of −0.48 percentage points. Tests used two 60-second clips per patient in 30 SEEG patients.
Its all-rank persistence test supplied design context. We selected an upper-tail time cluster question. We did not reuse its outcome scores or code.