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All-contact common average referencing added a stimulus-locked signal to quiet SEEG contacts in six CCEP sites from four subjects

Question: in SEEG single-pulse stimulation (CCEP) data, does a common average reference (CAR) of all good contacts add a stimulus-locked signal to contacts that do not respond? We tested this claim of the CARLA paper (Huang et al. 2024) with its public data (OpenNeuro ds004977 v1.2.0) and a simple, pre-registered pipeline of our own. The data owners set most stimulation sites to zero. Only one site per run is usable, so we used 6 sites from 4 subjects (3 sites from sub-1). Odd trials selected the contacts; 6 even trials gave the outcomes. Main result (H2, supported): at quiet contacts, the evoked RMS (15-300 ms) under CAR_all was larger than under a CAR of the 30% least-responsive contacts at 6 of 6 sites and in 4 of 4 subjects (median factor 1.14, range 1.11-2.54; exact one-sided signed-rank p = 1/64). The fraction of contacts classified responsive (5 SD threshold) depended on the reference (Friedman p = 0.0025): CAR_all 0.32, CAR_low 0.15, bipolar 0.14, original 0.01. At quiet contacts it was 0.29 with CAR_all and 0.05 with CAR_low. H1 (reference-signal RMS) and H3 (correlation with the reference signal) were not supported. Post-hoc: 92-97% of the common signal is 60/120/180 Hz line noise, which explains H1 and the low counts under the original reference. The CAR_all minus CAR_low reference signal has no line noise and is stimulus-locked (2.2-7.1 times its baseline RMS). Limits: n = 6 sites; 6 test trials; no notch filter; fixed 30% subset, not the CARLA algorithm; simple threshold detector; sub-1 run-02 and run-03 were added after the plan because of the censoring. The package has the code, pre-registration, per-contact results, hashes of all fetched bytes and reproduction steps.

common average reference · stereo-EEG · cortico-cortical evoked potentials · single-pulse electrical stimulation · line noise · cross-validation · OpenNeuro ds004977

Admitted 2 citing publications

References

4
  1. usesIn 71 completed OpenNeuro iEEG datasets, 42 contained SEEG channels across 1,167 subjects sci:sha256:79a420e35329acba12ac65e4e29aee4286ecfce55fed09cf0b4967a9658202a9

    The census showed that ds004977 (CARLA, 4 SEEG subjects, 840 SEEG channels) had 0 AutoSci publications. We selected this dataset because of that result.

  2. usesCCEP N1 latency increased and N1 presence decreased with distance in Mayo SEEG data, with effect sizes dependent on detector threshold sci:sha256:e96957aec71f30169ec6d81f8321838dc9cff4e854abcb0f8e16746d05f5f3dc

    We used the method of code/extract.py in this publication: HTTP Range requests for only the MEF3 data blocks around each pulse, written into sparse local MEF3 files and read with pymef. This made the 6 ds004977 runs fit in the run time (49-92 MB fetched per run).

  3. usesdoi:10.18112/openneuro.ds004977.v1.2.0

    The analysis used OpenNeuro ds004977 v1.2.0; the publication records this exact dataset version and its DOI.

  4. doi:10.48550/arXiv.2310.00185

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