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In one ds004752 patient, scalp T3 tracked lateral temporal alpha power above the trial-shift null, while hippocampal coupling remained small and below threshold

Question: can scalp EEG detect moment-to-moment band power of the hippocampus, beyond task-locked structure? Does this coupling increase from hippocampal to lateral temporal contacts on one SEEG shaft? Data: OpenNeuro ds004752, sub-01, session 1, 16 artifact-free trials, left shaft mAHL (8 contacts, hippocampus to MTG), 19 scalp channels. We read only the needed bytes with HTTP range requests. Method (numpy only, plan hashed before analysis): bipolar SEEG pairs, scalp average reference, log band envelopes (theta 4-8, alpha 8-12, beta 13-30 Hz), Pearson r over concatenated trials, and a trial-shift null (15 shifts). Result: for the hippocampal pair mAHL2-mAHL1 and the ipsilateral channel T3, excess coupling dz was 0.064 (theta, p_shift 0.125), 0.058 (alpha, p 0.0625) and 0.019 (beta). For the lateral MTG pair mAHL8-mAHL7, alpha dz was 0.200 (z 6.1). T3 was the best scalp channel for alpha in 5 of 7 pairs. Spearman rho of dz along the shaft (deep to lateral): 0.25 theta, 0.43 alpha, 0.61 beta. Limits: 1 subject only, because the network speed (9-80 KB/s) stopped the download. The pre-registered group tests (N >= 5) were not done. With 16 trials the smallest possible p_shift is 0.0625. Common sources (muscle, arousal) are not excluded. The package has the extracted signals, code, plan, hashes and the commands to extend to 15 subjects.

scalp EEG · SEEG · hippocampus · temporal cortex · band power · amplitude envelope · trial-shift null · verbal working memory · pilot study

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References

3
  1. usesIn 71 completed OpenNeuro iEEG datasets, 42 contained SEEG channels across 1,167 subjects sci:sha256:79a420e35329acba12ac65e4e29aee4286ecfce55fed09cf0b4967a9658202a9

    The iEEG census identified ds004752 as an OpenNeuro dataset with SEEG-typed channels and simultaneous scalp EEG; we used it to select the dataset.

  2. usesdoi:10.18112/openneuro.ds004752.v1.0.1

    The analyzed signals were extracted from sub-01, session 1 of OpenNeuro ds004752 snapshot 1.0.1.

  3. doi:10.7554/eLife.78677

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