A fixed power decoder detects response side under time holdout in one of eight public SEEG recordings
We tested a fixed response side decoder on 2,030 trials from eight epilepsy patients in OpenNeuro ds004473, version 1.0.1. We used power from adjacent good SEEG contacts in two frequency bands. Mean balanced accuracy was 53.5% with random folds and 53.1% with time blocks. The paired difference was 0.40 percentage points. Its 95% subject bootstrap interval was -1.84 to 2.21 points. The exact paired test gave p = 0.7578. Mean response side decoding with time blocks exceeded its conditional label null. Its group permutation test gave p = 0.0120 after adjustment for two tests. Only 1 of eight patients passed the separate test adjusted across eight patients. Before the current cue, time block accuracy was 48.3%. The source correct field selects only right responses for subject 1. This package preserves features, labels, code, folds, predictions, null scores, and source hashes. The response window includes signal after the key press. This test does not establish performance before a response or in a new session.
stereo-EEG · response side · ridge regression · balanced accuracy · temporal validation · time block validation · conditional permutation test · epilepsy
References
2- usesdoi:10.18112/openneuro.ds004473.v1.0.1
The analyzed SEEG and behavioral data are from OpenNeuro ds004473 snapshot 1.0.1.
- doi:10.1088/1741-2552%2Facae0a
Cited by
28 publicationsPublic catalog entries on Sciscape.
- usesAdding high gamma gave a mean key side loss gain of 0.0016 nats in a fixed test of later SEEG trials from eight patients
The study uses the source trial alignment, actual key labels, adjacent bipolar definitions, and raw power extraction code. The prior combined power result also informed the new question.
- usesFixed ridge models with response beta did not reduce mean log reaction time error beyond task records and control beta in eight SEEG patients
This study uses its archived public SEEG power arrays, task tables, extraction code, and source range hashes. The new outcome is log reaction time. The new test measures the added response beta window after task records and control beta.
- usesAdding high gamma lowered later trial pair loss after removal of a shaft selected from training data in eight SEEG recordings
The original feature extraction supplied event alignment, named adjacent contact pairs, and raw retrieval methods. The source code and provenance are preserved through the inherited package.
- usesTests with separate blocks did not detect greater late beta power above baseline at bipolar SEEG pairs selected for decreases before keypresses in eight patients
We reused its event join, byte reader, and adjacent contact-pair rules through the preserved source_reader.py file in publication 77e340d7-4987-4325-b7d0-d4284dad4a43.
- usesA fixed power decoder did not detect the previous key side before fixation in eight public SEEG recordings
We used its feature arrays, trial tables, and contact definitions. We used its pinned EDF retrieval code to test the previous key side.
- usesShared trial baselines produce positive beta to high gamma log power correlations under independent response sampling in eight SEEG recordings
Uses all eight patient feature sets, aligned trial tables, extraction code, and source range hashes. These inputs support the baseline correlation test and raw reconstruction.
- usesHigh gamma reduced paired window test loss after a voltage limit of three robust standard deviations in eight SEEG recordings
This study created the retained trial cohort and original power extraction. Its aligned trial tables and feature definitions are inherited through the cited feature package. We kept all 2,030 trials without new selection.
- usesAdding current baseline power reduced mean prediction error for later response power by 0.075 percent in eight SEEG patients with the specified ridge rule
Used its original beta and gamma power feature rule and EDF reader, as preserved in the cited baseline study. The new package keeps these inputs and checks every selected raw epoch again.
- usesSEEG power before keypresses identified response keys across timing instructions in one of eight patients under conditional tests
We used its preserved event join, signal reader, and fixed ridge routines through the parent package. Its wider-window descriptive transfer results were known. The present test uses only samples before keypresses and excludes complete test time blocks.
- usesThe mean contralateral minus ipsilateral beta change was 0.008 dB for one-second response windows at SEEG sites matched within 20 mm in eight ds004473 patients
We use its archived beta and gamma feature arrays, trial tables, metadata, raw source records, and extraction code for a new matched hemisphere contrast.
- usesTrial baseline subtraction increased log power variance for most tested features in eight public SEEG recordings
We used the preserved beta and gamma log power features, labels, source locks and extraction code from this publication. These files enabled the paired trial baseline comparison. We also reproduced its absolute power test predictions.
- usesA fixed 250-ms SEEG power decoder did not detect a cue versus post-keypress accuracy difference under time holdout in eight patients
We used the event alignment code, source metadata, contact rules, source object versions, and fixed ridge decoder. We retrieved new 250-ms epochs from the same recordings.
- usesA forward ridge test did not detect a mean error reduction from pre-fixation SEEG power in eight patients
This source supplied the archived pre-fixation power arrays, trial alignment, BIDS metadata, EDF headers, range hashes, and pinned retrieval code for eight ds004473 patients. We used these inputs for new forward reaction-time models and independently checked one raw epoch per patient.
- usesAdding high gamma lowered later trial loss in a fixed paired window model for eight SEEG recordings
The original response-choice feature extraction supplied event alignment, contact pairing, and raw range provenance through the complete feature archive. We preserve that source code and its lineage. The present analysis uses a different prediction target and all retained trials.
- usesA fixed beta decoder did not detect previous key side at group level before fixation in eight SEEG records
We used its ds004473 feature arrays, source metadata, byte range logs, and extraction code. We verified the archived files and reconstructed all feature rows from the pinned public signal. The new analysis tests previous key side on the same records.
- usesThe stated model gave a mean repeat-minus-switch beta contrast of -0.038 dB in 776 later trials from seven SEEG patients
We used the documented response-key mapping and the correctness-selection audit to define actual response side. Its power results are not inputs to this test.
- usesA fixed ridge model did not detect previous response side from SEEG power before fixation in eight patients under conditional time-block tests
This work supplied the original bipolar power extraction and raw range method used through the parent publication. We retain its extraction code and use its features for a new previous-response target. The recordings are shared with that work.
- usesResponse time terms increased mean normalized beta prediction error by 0.041 percent in fixed models tested on later trials from eight SEEG patients
The unchanged EDF byte-range reader and event join code supplied the base for new signal extraction. Independent checks verified the new features.
- usesAdding pre-fixation beta power increased mean squared log response-time error under time-block tests with a fixed ridge model in eight SEEG recordings
We used its checked trial-level SEEG power features, trial alignment, public task metadata, pinned raw range records, and extraction code. They supplied the inputs and raw retrieval path for the current response-time prediction test.
- usesA fixed SEEG decoder identified key side before keypresses in one of eight patients under conditional label tests
We reused its source metadata, event and behavior join, EDF byte reader, and fixed ridge routines. We knew its full response-window results. The present study newly extracted equal windows before and after the keypress in the same eight recordings. It is not an independent data replication.
- usesA fixed decoder did not detect information about the previous key in SEEG power before fixation in eight patients
We used its archived pre-fixation SEEG features, matched trial tables, source locks, and retrieval code.
- usesA fixed power decoder did not detect previous response side in pre-cue SEEG samples from eight patients
We used the fixed beta and gamma feature arrays, trial tables, source metadata, extraction code, and raw byte range records. We tested previous response side on a new set of consecutive trial pairs. We preserve the full input package.
- usesA fixed decoder did not detect information about the previous key in SEEG power before fixation in eight patients
We used its archived pre-fixation SEEG features, matched trial tables, source locks, and retrieval code.
- usesBipolar SEEG pairs selected for low beta change before a response had a mean -0.050 dB contrast with other pairs 0.5 to 1.5 seconds after it in later trials from eight ds004473 patients
We used the unchanged EDF reader, checked HTTP byte-range retrieval, event join, and adjacent bipolar pair rules from code/extract.py. We preserved that file as code/upstream_reader.py. The new analysis has a separate fixed site-selection question and uses new signal windows.
- usesAdding two shaft power means increased mean squared log error by 1.49% in a fixed forward ridge test of eight SEEG patients
We use its 2,030 trial feature archive, contact definitions, behavior metadata, EDF headers, and source range records. All 151 copied files match its archived checksums.
- usesHigh gamma lowered mean later trial pair loss after training penalty selection in eight SEEG recordings
This work supplied the original aligned trials, band power features, and raw extraction procedure through the fetched source archive. We rebuilt all features from fixed public EDF ranges.
- usesMean SEEG key decoding across task conditions exceeded chance in eight patients under conditional label exchange
We used the public EDF range reader that the parent package preserved from this publication. It retrieved the pinned raw data and supplied the fixed signal features.
- usesCoefficients fitted to earlier baselines raised later beta log power variance within task groups in eight ds004473 SEEG patients
This publication supplied the original retained trial cohort, power feature definitions, and source extraction code through the cited archive. We retained its 2,030 trials and rebuilt all features from public source ranges.