Five-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions

1. supersedesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:21dab4d38cd5c20d6077ddeee2cf0971c912069b7c5920471f4ef26f6cc2a568

   This version corrects one report sentence about site inclusion. All 86 retained sites had at least one eligible readout. Analysis, results, and figures are unchanged.

2. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

   This study used the eligible pairs, ordered pulse products, source metadata, and extraction code from this publication. It added a calibration noise scale and a separate later single-pulse voltage error endpoint.

3. usesdoi:10.18112/openneuro.ds004696.v1.0.1

   The analyzed SEEG source dataset is OpenNeuro ds004696 version 1.0.1; its recorded snapshot URL and file hashes are preserved in the archive.

4. doi:10.1523/JNEUROSCI.2201-22.2023
5. doi:10.1371/journal.pcbi.1011105

Public catalog entries on Sciscape.

• usesScaled five-pulse forecasts had more skill for centered bipolar SEEG at 20–100 ms than 100–500 ms in eight patient sessions

  We used its fixed five-pulse noise scale and public source extraction method. We did not fit a new rule on test data. We extended its zero voltage control to a primary contrast between 20–100 ms and 100–500 ms.

• usesA prior voltage model did not reduce mean forecast error for 20–500 ms pulse size at later sites in eight SEEG sessions

  This study used the exact trial voltage products, source metadata, and extraction code. They enabled a new test of a prior voltage forecast at later sites.

• A fixed joint SEEG model increased mean normalized error compared with separate scaling after five calibration pulses at 20–500 ms in eight sessions

  [Legacy relation: reproduces] We independently calculated the separate readout scaling rule from the inherited ten-pulse products. We reproduced its mean normalized error reduction of 6.66% against the full early mean on the same eight sessions. That rule was the primary comparison for the fixed joint spatial model.

• usesWith the same fit rule, the latest five retained SEEG responses reduced mean forecast error by 1.1 percent against random sets of five at 20 to 500 ms in eight patient sessions

  The five-pulse scale rule originated in this work and was inherited through the forecast parent. The new comparison uses that fixed fit rule for both recent and random five-response sets.

• usesUpdates from past pulses lowered mean interval score for selected 20–500 ms SEEG log sizes in eight patient sessions

  Used exact trial products and source maps. Complete sub-01 and sub-08 source rebuilds checked this dependency.

• usesMaps selected for 20 to 100 ms voltage error used fewer values and had lower mean site accuracy with a fixed covariance rule in five offline SEEG sessions

  Used its local scale rule based on distinct-pulse inner products as an additional forecast comparator. Adapted the rule from five calibration pulses to four and used the present study loss weighting.

• usesFour-pulse fitting reduced error but did not show smaller joint envelopes for 20–500 ms SEEG in eight sessions with five early pulses

  This publication supplied exact waveform products, corrected chronological event maps, source hashes, and retrieval code. Fresh source rebuilds matched these inputs.

• usesFour-bit storage reduced waveform payload by 87% and increased mean normalized 20–500 ms forecast error by 0.70% compared with float32 in eight SEEG sessions

  This publication supplied the five-pulse noise-scale model, eligible pair identities, exact trial products, and source provenance. We rebuilt all eight source files and tested amplitude rounding of its forecasts.

• usesFull-session calibration gave no clear mean error reduction for five-pulse SEEG forecasts at 20–500 ms in eight patients

  This work defined the full waveform scale used as the main comparator and as one end of the new blend.

• usesFour fixed temporal scales increased mean 20–500 ms centered bipolar SEEG forecast error relative to one scale in eight patient sessions with five calibration pulses

  This publication supplied the one-scale baseline and earlier source products. The new source rebuild reproduced its patient scores.

• usesA fixed update from one SEEG readout increased centered voltage error on other shafts at 20 to 500 ms in eight patient sessions after five calibration pulses

  We used its 24 exact pulse-product and index files, corrected event order, source metadata, extraction recipe, and five-pulse noise scale. We added an observed-anchor waveform update and tested individual target error on other shafts.

• usesThe clipped five-pulse SEEG rule bounds forecast size when one calibration waveform changes

  The study tested this publication's clipped one-scale forecast rule. It reused its 24 verified compact input files, source metadata, provenance, and trial extraction code. The new work proves exact sensitivity to one arbitrary replacement and audits later-error limits.

• usesForecast updates reduced 20–500 ms SEEG error by 3.1 percent compared with a fixed five-pulse forecast in eight patient sessions

  This work supplies the fixed five-pulse noise scale and its stable-response model. The new test compares that fixed forecast with a forecast that refits the mean and scale after each earlier retained response.

• usesA three-part test did not establish lower 20–500 ms SEEG forecast error than one scale in eight sessions

  This study retrieved its compact data, source metadata, and extraction code. It used its clipped five-pulse one-scale forecast as the primary reference and independently reproduced its mean gain.

• usesA fixed voltage gate had higher mean SEEG waveform forecast error than matched random selection in eight epilepsy sessions

  Its forecast scale method supplied the fixed five-pulse waveform forecast used in this test.

• usesDonor response maps increased mean late SEEG forecast error by 0.24 percent in eight patient tests with five local calibration pulses

  Uses its calibration noise scale for the fixed late voltage forecast that both update models share.

• usesExact bootstrap averaging did not establish lower 20 to 500 ms SEEG forecast error after five pulses in eight patient sessions

  Its separate five-pulse noise scale defines the reference forecast for the new exact bootstrap comparison.

• usesA fixed spatial noise rule gave no clear 20 to 500 ms AUC gain after five early pulses in eight SEEG sessions

  The fixed edge and site tables, source metadata, source hashes, and within-pair products defined the cohort and supported fresh source checks. New spatial products were extracted in this run.

• Cutoff selection from five pulses increased mean 20–500 ms SEEG forecast error relative to full waveform scaling in eight patients

  [Legacy relation: reproduces] We used its clipped signal/noise scale as the full waveform reference. The full scale, full mean, and zero forecast matched 28 inherited patient/window/subset scores per method within 5.4e-15. The new cutoff selector was a separate test.

• usesDoubling a template with a scale from three 1 mA pulses increased 2 mA SEEG forecast error in three patients at 20 to 500 ms

  This work supplied the shared pulse-energy scale. We tested that existing scale with three 1 mA fit pulses for separate 2 mA outcomes. We did not reuse its different dataset.

• usesA changed center reduced 20 to 500 ms SEEG bound radii by 9.7 percent in eight patients after five early pulses

  This publication supplied the exact ten-pulse Gram products, cohort selection, source metadata, and public processed-source retrieval code. The present analysis uses the same eight patient sessions.

• usesAn offline two-pulse site rank did not show lower 20–500 ms SEEG forecast error at a fixed budget in eight sessions

  We used all eight corrected exact trial-product files and their chronological pulse sets. We also used its calibration-only noise-scaling rule as a planned descriptive control.

• usesEarlier-site variation lowered error divided by first-pulse energy but raised voltage error versus a fixed half-size SEEG forecast from one pulse at 20–500 ms in eight sessions

  This study uses the exact trial products, pinned source records, and five-pulse forecast rule. It tests a new transfer rule using only earlier donor sites.

• usesA shared site scale gave a mean 0.93% error increase for 20 to 500 ms SEEG responses after five-pulse calibration in eight patients

  This work uses its five-pulse separate pair-scale rule as the primary comparison. It tests new shared site, shaft, and patient scales on reused outcomes. It adds an observed common-scale lower bound and an exact loss-change analysis.

• usesEarly SEEG error did not establish better late error ranking than a matched before-pulse score after five calibration pulses in eight people with epilepsy

  Its five-pulse noise scaling rule sets the fixed early, late, and before-pulse waveform forecasts.

• usesMean scaled SEEG waveform error at 20–500 ms was 0.032 below a five-pulse estimate in eight patient sessions

  Its five-pulse variation model and later single-pulse loss motivated the separate test of an error estimate. The present study keeps the early mean forecast unscaled and tests whether an early variance estimate matches later loss. Both studies use the same cohort; this is not an independent cohort replication.

• usesA half-weight update raised mean relative forecast error by 1.0% in selected SEEG readouts from eight sessions after contact order reversal

  We used the five-pulse noise-scale formula to build the stored forecast from original-order pulses. We used no recording data from this other dataset.

• usesA scaled pulse triplet kept five-pulse SEEG forecast size bounded under two replacements and increased error in eight unchanged sessions

  Its clipped noise scale supplied the reference five-pulse rule and the scale applied to the selected triplet.

• usesA sequential pulse quota gave no clear error gain over random allocation in an offline test of 20 to 500 ms SEEG from eight sessions

  We use its shared-energy forecast scale in a planned exploratory check. The primary forecast is the ordinary mean.

• usesA learned time basis did not show lower mean one-pulse SEEG forecast error at 94 new sites in five patient sessions

  Used the signal and noise scale as a local comparison rule. Applied the rule to four new-site input pulses. Did not use the prior five-pulse data or results.

• usesEarlier reverse templates had higher mean error than scaled two-pulse local forecasts in seven limbic SEEG sessions at 20 to 500 ms

  We used its exact eligible edge tables, pulse indices, source pins, retrieval design, and within-direction matrices to build and verify new cross-direction products.

• usesA scaled pulse triplet kept five-pulse SEEG forecast size bounded under two replacements and increased error in eight unchanged sessions

  Its clipped noise scale supplied the reference five-pulse rule and the scale applied to the selected triplet.

• usesA fixed 40 Hz projection increased mean later pulse error in eight SEEG sessions used in earlier tests

  We use its exact ten-pulse Gram matrices and clipped early amplitude scale. They give the separate later-pulse loss and the full-template reference. We reproduce its 6.658778% mean gain over the unscaled template.

• usesLarger response energy was linked to greater later variance relative to baseline in 20–500 ms centered bipolar SEEG from eight patients

  This study reused the exact ten-pulse Gram matrices, pair tables, source metadata, and source hashes. It tested a new association between response energy from earlier pulses and variance from separate later pulses.

• usesA five-pulse geometric median did not show lower normalized SEEG forecast error than noise scaling under one simulated fivefold gain fault in eight patient sessions

  We reused the exact trial products, eligibility rules, and noise-scaled mean rule. We tested a geometric median under specified digital gain faults on the same eight sessions.

• usesEarly SEEG increased late forecast error in eight patient sessions with five calibration pulses and ridge strength 1

  This work supplied exact pulse products, pair tables, and the noise scaling rule. We used them to test a new forecast from early voltage in the same pulse.

• usesScales from seven donor patients reduced mean late SEEG forecast error by 0.60 percent in eight patient tests with five local calibration pulses

  We used its noise-scaled late calibration mean as the reference forecast and its site-balanced patient error scheme. Its inherited source recipe provides the full input rebuild.

• usesA variance stop rule used 46% fewer pulses and raised normalized 20–500 ms centered bipolar SEEG error by 4.5% versus five-pulse scaling in eight sessions

  We use its exact trial products, public source hashes, extraction code, and five-pulse scaled forecast. We add a site-level pulse stop rule and an exact expected random allocation control with the same pulse budget.

• usesA fixed 6 Hz phase model increased later SEEG size prediction error versus a fixed mean after five calibration pulses in eight sessions

  The extraction code inherits compact trial response products and the early shape subset from this earlier code source.

• usesA five-pulse test did not establish lower SEEG size prediction error from pre-pulse RMS in eight patient sessions

  We used the pinned source identities, spatial rules, pulse selection, and extraction code. We rebuilt all eight source files and added a window before the pulse for a new RMS prediction test.

• usesAfter five calibration pulses, about 25 ms template offsets gave a 7.48% mean patient error increase in 100–500 ms SEEG forecasts across eight sessions

  We used the calibration noise-scale method and extraction code inherited through the direct parent. We held this scale fixed while testing seven template sampling offsets.

• usesA 20–100 ms response update did not establish lower 100–500 ms SEEG forecast error with five calibration pulses in eight sessions

  We used its clipped five-pulse noise-scaled late waveform as the reference forecast. We also used its source extractor lineage through the exact-product parent. The new comparison tests the added value of an earlier same-pulse measurement.

• usesA voltage model trained on pulses gave mean error decreases of 2.08 percent after pulses and 2.69 percent without pulses at 95 later sites in five SEEG sessions

  This study adapts its calibration cross-energy noise-scale formula from five records to four records. The resulting mean control tests whether the voltage model improves on a mean corrected for calibration noise. Its earlier dataset results are not claimed as reproduced.

• usesA five-pulse geometric median had 0.31% higher mean error than a scaled mean for 20–500 ms bipolar SEEG in eight sessions

  We used its 25 compact input files, fixed pair rules, and noise-scale comparator. All input hashes match that archive. We add a geometric median and a matched early leave-one-out scale test.

• usesClipped trial products reduced geometric mean squared forecast error for later 20–500 ms SEEG energy estimates in eight sessions

  The exact trial products, contact rules, corrected chronological event mapping, source metadata, and extraction code define the eight-patient inputs. The new outcome is later signed trial-product energy rather than single-trial voltage waveform loss.

• Fixed noise pooling did not establish lower mean SEEG forecast error at 20–500 ms after five calibration pulses in eight sessions

  [Legacy relation: reproduces] We reproduced its five-pulse local noise scale and site-balanced patient loss. Its 6.658777830461332 percent mean reduction against the calibration mean matches this calculation. That rule is the primary comparison.

• usesA limited time trend from five pulses increased later SEEG forecast error at 20 to 500 ms in eight sessions

  This publication supplied the five-pulse mean noise scale. The same rule is the reference forecast and mean component of the new time trend.

• Five early pulses set gains that reduced centered SEEG forecast error at 20 to 500 ms against fixed 0.5 gain in seven of eight patients

  [Legacy relation: reproduces] A separate calculation repeated the 6.66 percent mean error reduction for separate readout gains. Every patient value matched the reported table to its precision. The same patients and outcomes were reused. This check was added after the primary result.

• usesRecent five-pulse updates with noise scaling reduced mean 20–500 ms centered bipolar SEEG forecast error in eight patient sessions

  This work supplied the corrected exact pulse products, source metadata, public-source extraction code, and noise scale rule. We used them to compare fixed and sequential forecasts.

• usesA five-pulse geometric median had 7.06% higher later 20–500 ms centered bipolar SEEG error than a noise-scaled mean in eight patient sessions

  This study uses the fixed trial products, sample rules, extraction code, and noise scale. It tests a geometric median on the same later pulses and reproduces the 6.66% scale endpoint.

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