In 30-second HUP SEEG samples, reference changes reduced mean 30–100 Hz slope rank agreement more than run changes

1. doi:10.1093/brain%2Fawad007
2. doi:10.1016/j.neuroimage.2018.08.020
3. doi:10.21203/rs.3.rs-9336143%2Fv1
4. usesdoi:10.18112/openneuro.ds004100.v1.1.3

   Source dataset, version 1.1.3, used for the 34-patient SEEG comparison.

Public catalog entries on Sciscape.

• usesAn intercept fitted to 15 development patients reduced mean SOZ label Brier score for a fixed balanced logistic model in 16 ds004100 SEEG test patients

  We used the earlier source-processing record for the 30-second signal sections, eligible contact pool, reference definitions, and Welch spectrum method. We retained the inherited reader and checked four sections with a second EDF reader.

• usesAdding six spectral features increased mean seizure onset label recall within a 10 percent contact budget in 31 SEEG patients

  This study uses the original public SEEG spectra, source signal quality rules, reference equations, versioned raw byte-range records, and EDF code. Four raw ranges were checked with a separate decoder and manual Welch calculation.

• usesSix CAR spectrum features increased mean seizure onset label AUC beyond contact numbers in fixed logistic tests that excluded each of 31 public SEEG patients

  We use its saved 20 to 100 Hz spectra, signal code, metadata, and pinned retrieval receipts through the classifier package. A separate reader checks four source prefixes. The new package preserves the inputs and a full reconstruction recipe.

• usesThe mean spectral AUC gain stayed positive under up to one adjacent label exchange per patient. The test used fixed scores and onset counts in 31 SEEG patients.

  This publication supplied the source spectra, metadata, and pinned signal retrieval code through the direct score archive. We used them to check features and two raw signal excerpts.

• usesName group removal preserved more top high gamma contacts than file changes in 32 HUP SEEG patients

  This work supplied the unchanged EDF decoder, exact OpenNeuro metadata, and pinned 30-second raw retrieval recipes. We retrieved the raw ranges anew and calculated new reference powers. We did not use its slope or power results as data.

• usesAn odds correction reduced mean squared label error in 31 SEEG patient exclusion tests with mean features from two recordings.

  Its public signal spectra are the underlying data for the preserved feature rows and independent signal checks.

• usesFixed combined models had mean SOZ AUROC 0.756 under matched and changed test references in 31 SEEG patients, with 79 percent top contact list overlap

  The preserved source archive supplied spectra, clinical metadata, the EDF decoder, and pinned signal retrieval records. They enabled feature reconstruction and fresh raw signal and header checks.

• usesAdding 30–100 Hz spectrum curvature raised mean SOZ AUROC from 0.598 to 0.703 in patient holdout tests of 31 HUP SEEG patients

  The study uses 339 unchanged files from this archive. These files provide the exact SEEG spectra, extraction code, clinical metadata, and pinned public retrieval recipes. All parent file hashes were checked.

• usesNested calibration gave mean Brier score 0.0879 compared with 0.0886 after frequency correction for seizure onset labels. Tests excluded each of 31 SEEG patients from fitting.

  Its compact spectra, signal metadata, and pinned retrieval recipes supplied the source data. They enabled new raw signal checks.

• usesFive spectral bands increased mean AUROC for SOZ labels beyond contact numbers in patient holdout tests of 30-second SEEG from 31 patients

  This investigation used the raw-derived power spectra, quality rules, source code, and pinned signal retrieval records in the preserved source archive. Its EDF code supported fresh raw-data and header checks.

• usesThe 95 percent interval with patient bootstrap refits included zero gain from six spectrum features at 88 SEEG label boundaries in 26 patients

  This study supplies the unchanged mean Welch spectra, clinical metadata, source retrieval manifests, contact selection audit, and EDF reader. We verified all archive files and independently rebuilt all used spectra from 62 public source prefixes.

• usesAdding five spectrum bands did not establish a SOZ mark AUC gain over contact numbers within contact name groups in 30-second SEEG from 18 external patients after HUP training

  This archive supplied the original HUP common average spectra and EDF reader. Fresh public downloads checked all 62 source ranges and spectra.

• usesAn added intercept reduced mean SOZ label probability error in 31 SEEG patient exclusion tests with a fixed logistic model

  Its public SEEG spectra, EDF code, quality audits, metadata and pinned retrieval records are preserved in the direct source archive and support this analysis.

• usesSix CAR spectral features raised mean seizure onset label AUC beyond contact number. Fixed logistic tests excluded each of 31 SEEG patients.

  Its original SEEG spectra, source metadata, patient audits, and pinned signal retrieval recipes were retained through the direct input publication. They enabled independent feature checks and two new source signal checks.

• usesContact splits gave higher mean seizure-onset label AUC than patient splits for a fixed spectral random forest in 31 public SEEG patients

  We used its saved mean spectra, source metadata, patient audits, and signal retrieval code. These inputs enabled a new test of contact splits and patient splits for seizure-onset label prediction. Copied files retain their original hashes.

• usesSix features added to a fixed SOZ model gave a 0.014 mean treated contact AUC gain in 17 SEEG patients with source outcome S

  This publication created the saved spectra, clinical metadata archive, and fixed public retrieval recipes preserved through the direct model source.

• usesSix CAR spectrum features increased mean seizure onset label AUC beyond contact numbers in fixed logistic tests that excluded each of 31 public SEEG patients

  We use its saved 20 to 100 Hz spectra, signal code, metadata, and pinned retrieval receipts through the classifier package. A separate reader checks four source prefixes. The new package preserves the inputs and a full reconstruction recipe.

• usesLocal 60 Hz spectral contrast was lower at seizure-onset contacts in 31 SEEG patients

  This earlier work defined the inherited contact selection, source retrieval, reference transforms, and Welch processing. Its artifacts were supplied through the direct parent publication.

• usesRepeated contacts gave higher mean AUROC than unseen patients for a fixed five-neighbor rule on 30-second SEEG spectra from 31 patients

  This study used the saved SEEG power spectra, source metadata, signal quality rules, and pinned retrieval manifests. They enabled the three training rules and the arbitrary contact label controls. The full input archive is preserved in source_archive.

• usesCAR spectrum splits gave higher seizure-onset AUROC than patient splits with five nearest neighbors in 31 SEEG patients

  We used its saved per-contact Welch spectra, source channel labels, signal checks, and pinned raw retrieval records. These inputs enabled the four-unit SEEG classifier benchmark and the raw-prefix check.

• usesA quadratic model reduced mean SEEG spectrum shape error between adjacent windows. Tests used 30 to 100 Hz and a common average reference in 34 patients.

  Used all 34 saved spectrum files, source metadata, quality decisions, and three source scripts. These inputs enabled a new test of spectrum shape prediction between time windows.

• usesWithin contact name groups, seizure-onset contacts had lower 60 Hz contrast in 31 SEEG patients

  This earlier work defined the inherited contact selection, source retrieval, reference transforms, and Welch processing. Its artifacts were supplied through the direct parent publication.

• usesAdding six spectrum features increased mean SOZ label AUC for a contact number model in nested CAR logistic tests of 31 ds004100 SEEG patients

  This publication supplied the original SEEG signal processing and source retrieval chain, retained in the spectrum publication. The new package preserves those source files and uses the mean spectra.