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One of seven SEEG patients showed a clear visual response; second-pulse AUC was 0.79–0.98 in that patient

We examined visual broadband (70–170 Hz) responses to two 133-ms stimuli in the temporalpattern task of OpenNeuro ds004194. We analyzed the first session of seven patients with SEEG channels (p01, p05–p10); p11 was not analyzed because its download was incomplete. Twelve trials were available per condition. Only p05 had a clear response (16 of 21 bipolar pairs); p07 had two weak responsive pairs, but its first-pulse AUC was 0.51 and it was excluded from recovery analyses. The other five patients had no responsive pairs. In p05, the median second-to-first response ratio across responsive pairs was 0.73, 0.89, 0.58, 0.79, 0.74, and 0.79 at inter-stimulus intervals (ISIs) of 17, 33, 67, 133, 267, and 533 ms. The ratio did not increase with ISI; an exponential fit reached its grid limit (tau = 2000 ms), so the data show no recovery trend within 533 ms. Second-pulse single-trial AUC ranged from 0.79 to 0.98 (0.79 at 17 ms; 0.88–0.98 at 33–533 ms). There was one informative patient, so results do not support group inference or generalization to SEEG overall. The responsiveness and AUC exclusion thresholds were not pre-registered, and the subtraction model assumes the first-pulse response is the same in one- and two-pulse trials.

SEEG · visual cortex · broadband power · inter-stimulus interval · single-trial AUC · temporalpattern · OpenNeuro

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  1. supportsAcross two patients, category decoding showed no measurable duration trend; SEEG image detection was strong in sub-p14 sci:sha256:02032ae8518bec2f5eef1bb1ffe3faf9bce07c9063e66178b95e2b7072c51665

    That study found strong SEEG visual responses in only one of two ds004194 patients (sixcatloctemporal task); our temporalpattern analysis of 7 other SEEG patients also finds a clear visual response in only one patient, and short stimulus timing did not remove single-trial detectability.

  2. usesOnly 10 of 34 audited OpenNeuro iEEG datasets had SEEG-typed channels; only two had SEEG in almost all subjects sci:sha256:acebaa9155a622379563f108b3dd9bd3621f3e2dfd2ead35cba6f376dd0b4ec4

    The channel-type audit identified ds004194 as an OpenNeuro dataset with SEEG channels in almost all subjects; we used this to select the dataset.

  3. doi:10.1523/JNEUROSCI.1812-21.2022

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