Eight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings

1. usesdoi:10.18112/openneuro.ds004473.v1.0.2

   This is the exact OpenNeuro ds004473 version used for the eight SEEG recordings and task metadata.

2. doi:10.1088/1741-2552%2Facae0a

Public catalog entries on Sciscape.

• usesAfter calibration and model fitting, two-bit power features gave 71.2% mean balanced accuracy in eight later-trial SEEG tests

  This study supplied saved eight-pair baseline models, test predictions, and accuracies. We reproduced all baseline test labels and patient accuracies before we compared encoded features.

• usesSigned power changes reduced mean response phase log loss with early setting selection in eight offline SEEG tests

  Used all eight recordings, retained trials, full powers, source metadata, and EDF range helpers. New extraction checked all retained source ranges and added half powers for phase-specific pair sets.

• usesEight SEEG tests did not establish 50 percent precision under binomial bounds that assume independent trials, stable class distributions, and a 1 percent task rate

  We used all retained feature arrays, trial records, source metadata, raw range recipes, and extraction code from this publication. We fitted new models in separate time blocks and added threshold calibration and exact precision bounds.

• usesPower contrasts preserve fixed decisions under simulated broadband gain changes in eight SEEG recordings

  We reused all eight SEEG feature arrays, trial exclusions, raw audit ranges, source records, and extraction code. These files enabled the fixed gain test. We verified their archived hashes and rebuilt every feature array from pinned public raw ranges.

• usesThree DPSS tapers gave lower mean Brier error than Hann in eight reused SEEG recordings with 500-sample buffers

  This record fixed the original trial eligibility and early contact pair selection. Its EDF helper code supports the inherited retrieval method.

• usesPair selection and fitting each improved mean offline SEEG accuracy with eight pairs and 64 instead of 16 trials in eight recordings

  This work first made the event-based power features and pinned raw retrieval method. We used those features through the parent package and checked raw powers and a fresh source download.

• usesTraining for fixed contact loss avoided constant models in eight SEEG records under simulated loss with mean replacement. The minimum accuracy gain was uncertain.

  We used its complete eight-person feature set, trial eligibility records, training-only pair selection rule, source metadata, and unchanged raw retrieval and feature extraction code. Fresh raw ranges from all eight people matched the preserved bytes. A separate four-trial rebuild matched 6,180 band powers exactly.

• Moving a 500 ms SEEG window from a 50 ms to a 300 ms response lead raised reader error in eight recordings

  [Legacy relation: reproduces] Fresh source extraction exactly reproduced the rest, 50 ms lead, and 300 ms lead feature arrays. The 50 ms reader reproduced the reported 70.7% mean balanced accuracy. This is a repeat in the same records, not an independent test.

• usesMoving a 500 ms SEEG window from a 50 ms to a 300 ms response lead raised reader error in eight recordings

  This study uses the eight-record cohort, trial split, contact pairs, source receipts, and MIT signal code. It adds fixed-reader time transfer and probability error. It preserves the trial exclusions and checks the source ranges again.

• usesEight-bit voltage gave 70.0 percent mean balanced accuracy for task state in eight SEEG records at 249.85 Hz with fixed early ranges and fixed readers

  Used the fixed early pair choices, retained trials, exclusions, labels, native power records, and EDF source helpers through the later packages.

• usesA stationary Gaussian variance correction with 5 percent shrinkage reduced SEEG decoding accuracy for 20 percent simulated sample loss in eight recordings

  This work defines the inherited eight pairs, state windows, trial rules, band features, and fixed decoder. We reused its feature and source reader code through the direct parent. Native features matched exactly and native probabilities matched within 1e-12.

• usesA Hann gamma envelope feature did not lower mean Brier error beyond matched power on later trials in eight reused SEEG records

  This work supplied the inherited trial eligibility and early-training contact-pair selection. We kept its eight pairs per person and preserved the selection and exclusion records.

• usesAdding spectral slope increased mean later Brier error in eight SEEG recordings with fixed pairs and penalty 1

  This study keeps its early-trial choice of eight bipolar pairs and its retained trial order. The result is conditional on that power-based pair choice and retrospective quality selection.

• usesPair power ratios changed decoder decisions under simulated 5% contact gain errors in eight SEEG recordings

  Used its exact retained trial records, candidate power features, source metadata, pinned byte-range hashes, and EDF extraction helpers. Fresh retrieval matched every selected native feature. Selected pairs and clean absolute accuracy also matched.

• usesAdding 70–110 Hz power gave an uncertain 0.9-point mean accuracy gain after task condition changes in eight records with eight fixed SEEG pairs

  This publication is the origin of the complete retained power features and extraction method inherited through the fixed-transfer package.

• usesThe 95th-percentile pause threshold reduces mean SEEG trigger rates and response-window detection in later data from eight task recordings

  The archived trial features, cohort exclusions, event metadata, and signal and model code supplied the fixed eight-pair decoder method. We fit new first-half models, calibrated thresholds on separate earlier pauses, and extracted dense later pause windows to test unwanted outputs and response-window detection.

• usesFour-bit SEEG features clipped at three training standard deviations gave 70.9% mean balanced accuracy with fixed decoders on later trials from eight patients

  We used the preserved SEEG features, trial rules, source extraction code, and provenance from this publication. We reproduced its floating decoder scores and tested new feature quantization and label bounds on the same later trials. This analysis does not provide independent evidence for its decoding result.

• usesRadial basis SEEG readers did not improve mean accuracy after condition changes in eight recordings with 32 calibration trials

  We used the checked power features, retained trial records, source metadata, raw audit ranges, and unchanged retrieval code. These files enabled the new linear and radial basis reader comparison.

• usesAdding SEEG power did not show a clear wrong-key ranking gain over timing in six recordings with fixed block calibration

  We used the five fixed spectral feature windows, source metadata, and bounded EDF retrieval code. These files supplied pinned inputs and a raw feature check recipe.

• usesA distance gate rejected a mean of 99.96% of inputs with a simulated 1 mV, 10 ms contact pulse in eight SEEG recordings

  This study uses the preserved ordinary SEEG power features, eight-pair panels, fitting-only scalers, and fixed logistic classifiers. They supply the model and recorded-input reference.

• usesWith mean replacement, one pair per shaft gave no clear gain in minimum SEEG balanced accuracy after simulated shaft loss in eight patients

  We use its fixed eight-pair model and chronological split as the unrestricted benchmark. We reproduce its saved parameters and intact scores.

• usesState centering changed mean beta–gamma power correlation by 0.00055 in later rest and pre-response windows from eight SEEG recordings

  This source supplied all eight feature files, trial tables, exclusions, pinned metadata, raw audit segments, and the native EDF extraction code. We kept its trial split and quality rules. They enabled the new within-pair power relation and later-trial prediction tests.

• usesTrial resampling reduced offline error at 50 percent acceptance in eight SEEG recordings with 32 calibration trials

  We use the exact retained feature arrays, source extraction code, metadata, pinned raw ranges, and raw audit records. All 121 imported files matched its manifest. The calibration and resampling test is new.

• Sample clipping raised mean balanced accuracy from 56.5% to 63.8% under simulated 1 mV, 10 ms contact faults in eight SEEG recordings

  [Legacy relation: reproduces] We rebuilt all 4028 rest and pre-response feature windows from pinned raw SEEG ranges. Every original feature matched at float32 precision. An ordinary-model refit gave the same later-trial labels and the same 70.7 percent mean balanced accuracy. This is a computational reproduction on the same cohort.

• usesSample clipping raised mean balanced accuracy from 56.5% to 63.8% under simulated 1 mV, 10 ms contact faults in eight SEEG recordings

  The parent supplied the trial set, exclusions, source metadata, ordinary power features, training-only eight-pair panels, and fixed baseline model states. These inputs made the paired contact-fault test possible.

• usesAn offline SEEG model gave 70.6 percent mean error ranking on 29 matched pairs in six tests that excluded the test patient from training

  This is the original source feature package cited by the parent archive. We reuse its candidate bipolar power features and extraction method through the verified parent package.

• usesCovariance replacement gave no clear task accuracy gain after simulated loss of one known SEEG shaft in eight sessions

  This work supplied the original eight-pair task decoder, power feature definitions, trial selection, and later-trial split. We kept those choices for the new covariance replacement test.

• usesPower from eight SEEG pairs before known response times gave 44.7 percent mean key agreement on 33 cue conflict trials in six recordings

  We directly reused and checked 122 files. These files supplied all SEEG power features, source trial records, exclusions, EDF headers, pinned raw ranges, and retrieval code. Fresh raw sample checks tested this feature input.

• usesA degree 5 projection reduced added Brier error by 0.294 compared with degree 1 in eight offline SEEG readers under constant ±0.5 Hz fundamental offsets and expected added RMS equal to training RMS

  We kept its inherited eight bipolar pairs per person, trial selection, and retrospective signal quality exclusions. All new results are conditional on those choices.

• usesRest calibration gave a 4.2 percent mean false positive rate in eight later-trial SEEG tests

  We use its exact 2014-trial SEEG feature inputs, exclusions, source metadata, raw audit ranges, and two retrieval scripts. We fit new models with a separate chronological rest calibration stage. A fresh source rebuild reproduces all feature arrays and range hashes.

• usesMean balanced accuracy was 0.17 percentage points lower with shaft loss training than with contact loss training in eight SEEG recordings under simulated shaft loss with mean replacement

  This work supplied the eight public SEEG feature sets, raw byte range records, extraction rules, and standard chronological decoder. We kept its data rules and reproduced its standard model before testing shaft loss.

• usesSine fits did not establish lower Brier error than linear repair in eight SEEG records with matched training and 20 percent periodic loss

  This study supplies the inherited event screen, voltage screen, training-only pair selection, and EDF range helper code. We preserve its choices and MIT notice.

• usesAdded fitting trials reduced Brier error more than added selection trials in eight offline SEEG tests with eight pairs and a fixed penalty

  This work supplied the feature extraction and pinned raw retrieval method through the parent package. We checked scalar raw powers, fresh raw ranges, and four fresh source trials.

• usesA gate with five thresholds gave outputs in one of eight offline SEEG records at a 20 percent error target

  Its original measured features, retained-trial rules, and bounded source extraction recipe reached this study through publication 80063b09-a65a-4296-921c-07de4bab14ca. We preserve that source lineage, code, and raw range hashes.

• usesMedian block powers gave higher task-state accuracy than mean powers for simulated 1 mV, 10-sample SEEG faults on one contact in eight recordings

  This upstream study supplied the task-state definitions, trial exclusion rules, early-trial pair selection, and fixed native decoder. The present work holds those choices fixed.

• usesThree tapers increased mean SEEG gate score at error cost 4 in eight reused recordings, but the change interval included zero

  Its fixed trial and pair rules and EDF helper were reused through the direct input package. They enabled matched inputs and fresh source checks.

• usesA joint covariance rule with 0.25 shrinkage gave higher mean later Brier error at ten SEEG contacts in eight clinical recordings

  We use its unchanged public SEEG features, trial exclusions, source metadata, and retrieval code.

• usesEarly loss tests did not show better contact priorities than coefficient size under simulated loss in eight SEEG recordings

  This study uses its exact SEEG power features, trial eligibility, source metadata, raw audit ranges, and extraction code. It trains new decoders and tests contact priorities in separate time blocks.

• usesQuadratic bounds certified 39.4 percent of later SEEG decisions for simultaneous constant contact gain changes of up to five percent in eight recordings

  We reused its eight-pair pre-response reader design and chronological split through the direct parent. Our refit preserved its recorded later decisions and accuracy.

• A paired test did not establish higher minimum SEEG accuracy from eight pairs without shared contacts under known simulated loss of one contact in eight sessions

  [Legacy relation: reproduces] We recovered all eight baseline model selections, scalers, coefficients, and intercepts to 1e-12. The resulting baseline mean intact balanced accuracy was 70.6865%. This reused-data check is not an independent data repeat.

• usesA paired test did not establish higher minimum SEEG accuracy from eight pairs without shared contacts under known simulated loss of one contact in eight sessions

  We used the full candidate pair features, windows, trial exclusions, source metadata, extraction code, and chronological split. We tested a new contact selection rule on the same data.

• usesAdded SEEG before a response gave no clear key prediction gain over earlier SEEG and task history with a linear reader in eight recordings

  We reused and verified 121 archived feature, metadata, and retrieval-code files. They supplied the eight SEEG recordings for the new added key prediction test. Fresh raw checks verified two trials per person.

• usesEarly score costs reduced mean probability change for eight fixed SEEG readers at a 32-bit sample budget

  This study supplied the inherited early pair choices and trial eligibility rules. We retained all eight pairs per patient and all selected trials. Its source records define the limits of this reanalysis.

• usesLoss training raised mean accuracy by 0.34 points under simulated contact loss in eight SEEG decoders

  We use the preserved SEEG features, source records, and extraction code. We reproduce the standard eight-pair model before the new contact loss and loss training tests.

• usesEight offline SEEG readers with median gamma power had 0.500 mean worst contact Brier error under simulated 1 mV, 100 Hz faults of 250 samples

  This publication supplies the fixed early pair selection, task labels, trial eligibility rules, and later test split.

• usesWhole-shaft training showed no clear gain over matched pair omission in lowest balanced accuracy after known shaft loss with mean replacement on later trials from eight SEEG recordings

  This study uses its feature data, trial rules, extraction code, and training-only pair score.

• usesEight-bit voltage gave 70.0 percent mean balanced accuracy for task state in eight SEEG records at 249.85 Hz with fixed early ranges and fixed readers

  Used the fixed early pair choices, retained trials, exclusions, labels, native power records, and EDF source helpers through the later packages.

• usesFiltering before fourfold sample removal gave 70.6% mean balanced accuracy in later trials from eight SEEG recordings

  This study supplied the original early contact choices, trial selection, and EDF range helper functions. We kept its eight pairs per person and all retained trials.

• usesSEEG sets at a 90% trial coverage target gave a mean output yield of 34.2% and a mean accepted error of 17.3% in eight later-trial tests

  We used its exact SEEG feature files, source records, audit signal ranges, and retrieval code.

• usesRest calibration gave a 4.2 percent mean false positive rate in eight later-trial SEEG tests

  We use its exact 2014-trial SEEG feature inputs, exclusions, source metadata, raw audit ranges, and two retrieval scripts. We fit new models with a separate chronological rest calibration stage. A fresh source rebuild reproduces all feature arrays and range hashes.

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