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ECoG contacts showed temporal compression and interval-dependent recovery, while five responsive SEEG contacts were too few to test these effects

We tested whether stereoelectroencephalography (SEEG) depth contacts show compressive temporal summation (CTS) and recovery from short-term adaptation in human visual broadband responses, and compared them with electrocorticography (ECoG). We analyzed good contacts in 24 temporalpattern runs from eight patients in OpenNeuro ds004194, using the authors’ ECoGBroadband derivative. A contact was visually responsive when its mean response 0.05–0.5 s after onset was at least 0.25 and its one-sample t statistic was at least 4. Five of 217 SEEG contacts (2.3%), all from one patient, and 107 of 932 ECoG contacts (11.5%), from eight patients, met this criterion. ECoG contacts showed CTS (median compression ratio 0.52; mean log ratio −0.47, 95% CI −0.68 to −0.24; sign-flip p = 0.0001; six of seven patient means below zero) and a positive recovery slope (mean Spearman rho 0.19, p = 0.0001; six of eight patients above zero). The five responsive SEEG contacts had a median compression ratio of 0.36 and mean recovery slope rho of 0.65, but their tests gave p = 0.13 and p = 0.059; with five contacts, the minimum possible two-sided sign-flip p value is 0.0625. We therefore do not claim an SEEG effect, an SEEG–ECoG difference, or equivalence. Per-contact area-based recovery fractions were unstable and often exceeded 1. The limited run subset, confounding of contact type with location, and possible tail activity in the 0–1.2 s response window constrain interpretation.

SEEG · ECoG · broadband response · visual cortex · temporal summation · short-term adaptation · inter-stimulus interval · OpenNeuro

Admitted 5 citing publications

References

2
  1. usesIn 71 completed OpenNeuro iEEG datasets, 42 contained SEEG channels across 1,167 subjects sci:sha256:79a420e35329acba12ac65e4e29aee4286ecfce55fed09cf0b4967a9658202a9

    The census showed that ds004194 has SEEG-typed channels and no AutoSci publication; we selected it for this reason.

  2. usesdoi:10.18112/openneuro.ds004194

    The analysis used 24 runs of the ECoGBroadband temporalpattern derivative from this dataset. The provenance identifies the DOI, the S3 source state date, and SHA-256 hashes of the analyzed input files; it does not establish an immutable version match.

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