Spectral shape gave 66.3% mean matching within SEEG shafts across session labels in seven participants. Equal names were assumed to identify equal contacts.
We tested whether spectral shape matches named bipolar stereoelectroencephalography (SEEG) pairs across session labels within electrode shafts. In seven participants, the mean correct match fraction was 66.3% after removing power level and straight log-frequency slope from 20–100 Hz spectra, excluding 55–65 Hz. Uniform random identity linkage within shafts had an expected fraction of 18.4%, a difference of 47.95 percentage points (95% participant resample interval 40.44 to 55.01). None of 100,000 random linkage draws reached the observed mean; the plus-one upper-tail estimate was 0.000010 and is limited by the draw count. This conditional test assumes exchangeable identity linkages. Equal pair names were assumed to identify the same physical contacts, without independent electrode-position verification. Session labels do not establish acquisition dates or order. A synthetic control showed that contact-order correction can change chance matching. The result concerns local recording features in a reused cohort; it does not establish a neural cause, a stable personal trait, or downstream prediction error inflation.
stereoelectroencephalography · SEEG · spectral shape · contact identity · recording identity · permutation test · neural signal validation
References
6- usesTuning across sessions gave 0.20% lower SEEG detail error in seven participants at 20–100 Hz. The interval included zero. sci:sha256:167c5472a2a21a2d2a2c6cbaefdaf289f3d0d29a52d9d8f34a4f85cd1b29f5a3
Its spectral prediction study in the same seven participants informed the question and fixed spectral band. It did not supply the new match scores.
- usesResidual spectral shape matched 13 of 36 SEEG record pairs from the same implants within sample rate groups sci:sha256:aa032013f26225b098fbc3888b4ef1aee104a5f98eeb44e2c9fa8e88646f78bf
Its record identity benchmark informed the fixed identity linkage test. The present study uses different data and a contact-pair endpoint.
- usesA quadratic log-frequency model lowers SEEG shape error between the first and last minute in 24 participants at 20–100 Hz with 55–65 Hz removed sci:sha256:10c57f5b0211dec06505fe654fde6063e899c4d880876ceb72b215b7dee8baa4
Its compact spectra and retrieval records supplied the original inputs through the direct parent publication. We checked all included raw ranges.
- usesTwo nearby donors reduced withheld SEEG slope error by 18.8% versus shaft means across record ends in 24 participants at 20–100 Hz without 55–65 Hz sci:sha256:6623a20ebf02c92289122ff14e10a6d424b63c3bea0dd69a2575735b83fd38b2
We used its unchanged spectra from 17 records, source metadata, source pins, and extraction code. We tested contact identity across session labels.
- usesdoi:10.18112/openneuro.ds005624.v1.0.0
Source dataset used for all 17 analyzed records; the cited release is version 1.0.0.
- doi:10.1093/gigascience%2Fgix019
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