Time 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
This study tested time concentration of power in public SEEG clips. The source was OpenNeuro ds004100, version 1.1.3. Each of 34 patients supplied two 60 s interictal clips. Power used 80 to 150 Hz, with 118 to 122 Hz omitted. Concentration was the share of summed power in the six largest of 60 one-second windows. Bipolar pairs had matching source seizure-onset labels at both contacts. The mean within-patient concentration AUC was 0.706 (95% patient bootstrap interval 0.655 to 0.757). Thirty patients had AUC above 0.5; the exact two-sided sign test gave p = 0.00000616. This sign test assumes independent patients and equal sign probability under its null. Removal of the six largest windows changed power AUC by 0.0095 on average in absolute value. Mean power AUC was 0.734 before removal and 0.730 after removal. The planned high-band checks gave similar estimates. Beta power also had a concentration association, so this result is not unique to the high band. No model was trained. The results measure source label association in the selected clips. The package preserves window data, source versions and hashes, code, figures, a fixed local plan, and reproduction commands. Numerical controls, an independent EDF read, fresh source metadata checks, and an exact offline statistical rebuild passed.
stereoelectroencephalography · SEEG · interictal · high-frequency power · time concentration · seizure-onset zone · area under the curve · AUC · OpenNeuro · patient bootstrap
References
2- 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 reused pinned source identities, metadata, EDF decoding code, and contact and pair rules. These enabled exact retrieval of the same public clips. The new analysis measured 80 to 150 Hz time concentration and upper-window deletion. Previous power outcomes were not analysis inputs.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The analysis used two selected 60 s interictal clips per patient from OpenNeuro ds004100 version 1.1.3; source labels and pinned source ranges came from this dataset.
Cited by
26 publicationsPublic catalog entries on Sciscape.
- usesA six-window timing count gave no clear AUC gain for seizure-onset labels in a fixed test of 30 SEEG patients
This study supplied the unchanged window-power extractor. We used it to rebuild all feature files from the pinned public source ranges.
- usesMean seizure onset label AUC was 0.795 without 80 to 150 Hz time concentration and 0.804 with it in fixed logistic model tests of 34 SEEG patient holdouts with two 60 s clips each
We use its 68 window-power files, clinical label and pair rules, source metadata, and signal retrieval code. We rebuilt all input arrays and test whether high band concentration adds information in combined models with every test patient absent from training.
- usesTwo 60-second SEEG clips gave no clear evidence of greater excess 80 to 150 Hz power change at seizure onset pairs in 30 patients
This study uses the first-minute power arrays, source metadata, retrieval records, and unchanged extraction code. They supply the primary inputs. All reused file hashes and fresh source outputs were checked.
- usesOne-second 80–150 Hz power rank persistence gave mean within-group SOZ AUC of 0.466 in 30 SEEG patients
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.
- uses80 to 150 Hz power concentration gave a mean local ranking fraction of 0.759 across four consecutive contact numbers in 30 SEEG patients
This study uses its unchanged 68 window-power files, 36 contact quality records, source metadata, pinned signal range recipes, and extraction code. They enabled the new four-contact comparison and the matched local and broad ranking test. All source arrays and quality records were rebuilt and checked.
- usesMean cross-run high-band SOZ AUC change was 0.0031 lower for 30-second than 10-second samples in 34 SEEG patients
We used its 68 window power files, extraction code, metadata, labels, quality records, and pinned raw byte identities. These inputs defined the fixed cohort and power score.
- usesAdding time concentration of 80 to 150 Hz power increased mean AUC by 0.021 in 34 patient holdout tests of two 60 s SEEG clips. The 95 percent patient bootstrap interval included zero.
Uses the window-power data for all 34 patients and 68 clips. Uses the source labels, selection rules, raw retrieval recipe, and signal checks. The new analysis tests added information beyond mean power with patient holdout models.
- usesIn 34 SEEG patients, removal of 20% of windows by 1 to 40 Hz slope reduced 80 to 150 Hz concentration AUC by 0.057 against shifted masks
Its window-power and pinned-source retrieval module was inherited through publication 53a6b2ec-db53-4319-a7b6-74c5cb93fe05. We added support for compressed archived headers. The power calculation and source retrieval rules stayed the same.
- usesAdding time concentration did not increase mean same-shaft label AUC in fixed 80 to 150 Hz models tested on 30 SEEG patients
This publication supplied the 68 window-power arrays, clinical labels, source metadata, pinned raw retrieval records, and extraction code. These inputs enabled the fixed test of concentration beyond mean power. A fresh source rebuild checked all arrays.
- usesAlternate-window maps had higher 80–150 Hz SEEG concentration rank agreement within than between recordings in 34 patients
Used its defined power concentration measure and fixed cohort rules. Its known full-minute rank agreement result informed the question. The new full-minute link check reproduced the rounded result of 0.549.
- usesIndependent calculations reproduced a test that did not detect an 80–150 Hz window adjacency difference in 30 SEEG patients under numeric pair rules
Supplied the source cohort, saved window powers, pair maps, clinical metadata, pinned retrieval identities, and extraction code. A fresh public source replay reproduced all 748 power arrays and all 36 selection records.
- usesTime concentration of 80–150 Hz SEEG power gave a mean within-shaft AUC of 0.720 for seizure-onset pairs in 30 patients with two 60 s clips each
This work supplies the fixed concentration measure, cohort selection, archived power arrays, source metadata, pinned byte-range recipes, and extraction code. We rebuilt all inputs and added same-shaft comparisons with the same eligible positive pairs in each contrast.
- usesShared SEEG power correction gave a 0.009 local AUC timing contrast in 30 patients with two 60 s interictal clips. Its 95 percent interval included zero.
The unchanged power extraction code and fixed concentration score came from this work through the local comparison parent. Its source identities permitted exact signal reconstruction. We did not use its whole-implant result as a new independent observation.
- usesTwo 60-second SEEG clips gave no clear evidence of greater excess 80 to 150 Hz power change at seizure onset pairs in 30 patients
This study uses the first-minute power arrays, source metadata, retrieval records, and unchanged extraction code. They supply the primary inputs. All reused file hashes and fresh source outputs were checked.
- usesAdding time concentration to a fixed 80 to 150 Hz power model raised mean test AUC by 0.021 in 17 SEEG patients
We used all 68 window power files, clinical pair labels, pinned source records, and extraction code. These inputs enabled a new test with separate training and test patients. This is the same cohort, with a new fixed model comparison.
- usesThe six largest beta and high-band power windows overlapped more at seizure-onset pairs than at other pairs in the same contact name group in two 60-second clips per patient in 30 SEEG patients
This publication supplied the 68 window-power input files, source records, metadata, raw example, quality records, and extractor. A fresh retrieval rebuilt every feature array. The new analysis measures shared window timing rather than power concentration.
- usesIn 34 SEEG patients, 80 to 150 Hz concentration had mean AUC 0.706 compared with 0.649 for phase controls with equal spectra
We used the fixed 34-patient cohort, source metadata, pinned source identities, pair quality records, observed window powers, and extraction code. We retrieved all 68 source clips again and added common-phase controls.
- usesWith fixed source selection, mean 80 to 150 Hz peak overlap was higher at seizure onset pairs in 21 SEEG patients
We used its 68 fixed window-power feature files, source metadata, clinical labels, pair identities, and pinned EDF retrieval code. These inputs support the matched-group peak overlap analysis.
- usesTheta phase to high frequency amplitude association gave a mean seizure onset AUC of 0.613 within name groups in 30 SEEG patients under a fixed coordinate rule
This work supplied the pinned source metadata, EDF headers, S3 byte recipes, and unchanged source_io.py and extract.py code. The new study used only retrieval and decoding functions. It retrieved signal bytes anew and calculated new phase to amplitude features.
- usesWith a fixed numeric pair rule, assigning mixed pairs to the onset class lowered mean 80 to 150 Hz power AUC by 0.048 within name groups in two 60 s clips from each of 30 SEEG patients
We used its pinned source manifest, metadata, EDF headers, S3 version identities, and window power code. We retrieved all source clips again and included mixed endpoint pairs. Matching-label power arrays agreed exactly across 68 parent runs. Its outcomes did not enter the new rule comparison.
- usesA 15 mm cutoff kept no tested SEEG pairs in 34 patients from ds004100 v1.1.3 when declared meter units were used
This archive supplied the fixed 34-patient sample, 68 power files, 36 quality records, source metadata, pinned range identities, and unchanged extraction code. Fresh public retrieval rebuilt all power files and quality records. The new work tests explicit coordinate units and cutoff selection.
- usesMedian 80–150 Hz window power, with 118–122 Hz removed, increased pair rank agreement across two 60-second SEEG clips in 34 patients
Used its fixed cohort, window powers, source identities, QC records, and extraction code. Its trimming result informed the median question. The present study adds new median scores and patient-level estimator comparisons.
- usesMedian SEEG power from 10 seconds did not meet a 5 percentage point agreement rule against mean power from 60 seconds in 34 patients
Used its fixed cohort rules and source extraction recipe through the parent package. Retrieved all 72 pinned prefixes and rebuilt the powers in this run.
- usesRemoving six seconds with high beta power reduced mean seizure-onset label AUC for 80 to 150 Hz power concentration by 0.043 compared with shifted removal in 34 SEEG patients with two 60 s clips each
This archive supplied the fixed 34-patient cohort, window-power extractor, pinned raw retrieval records, and original concentration result. We rebuilt all powers from the public prefixes. We added beta-selected time removal and matched circular removal controls.
- uses80–150 Hz SEEG power changes fell outside 5 s block ranges more often between runs than within runs in 34 patients
This work supplied the fixed 34-patient sample, power arrays, extractor, and source records. We rebuilt all arrays from public bytes. We used the arrays for a new comparison of resampling ranges within and between runs.
- usesUnder independent patient label swaps, pair bootstrap intervals covered the known mean AUC of 0.5 in 44.57 percent of tests with 34 SEEG patients
This publication supplied the 68 SEEG window-power files, patient and pair selection records, original source prefix, pinned source identities, and extraction code. We preserved its complete package and verified all archived file hashes. We recalculated AUCs and tested new bootstrap coverage under independent patient label swaps.