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Sleep SEEG in 17 children: the HFA-envelope lag of bipolar pairs does not change along the anterior-posterior axis

Question: scalp EEG shows that NREM slow waves usually travel from anterior to posterior cortex. Do anterior SEEG depth pairs reach up and down states before posterior pairs? Method (pre-registered): we used 180 s of sleep SEEG from each of the 18 UCLA subjects in OpenNeuro ds005398. There were 1048 non-SOZ bipolar pairs with MNI coordinates. For each pair, we took the log 70-150 Hz envelope (0.2-4 Hz). This envelope does not depend on the slow-wave polarity. We found the lag of the pair envelope to the mean envelope of the other shafts (cross-correlation peak within +-300 ms). Result: in 17 patients, the mean Spearman rho(lag, y) was +0.002 (95% CI -0.064 to +0.070, sign-flip p = 0.95). The y slope with |x| and z in the model was -1.7 ms per 10 mm (CI -8.2 to +3.9). An event-locked lag gave +0.053 (Holm p = 0.27). A post hoc check showed that the two lag measures agreed within patients (mean rho +0.28), so the lags were not only noise. Limits: the sleep stage is not given, and the coupling to the common signal was weak (median peak r 0.08). The patients are children with epilepsy. There is one segment per patient. The S1 CI does not exclude a gradient of the scalp size (about -3.7 ms per 10 mm). The plan was changed before any signal was read because ds007118/9/20 SEEG contacts mostly have no coordinates.

sleep · SEEG · slow waves · high-frequency activity · epilepsy · anterior-posterior gradient

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References

3
  1. usesSlow-wave–HFA coupling and HFA power distinguish clinical SOZ depth pairs in 43 patients sci:sha256:9f9a03f5ae81593b8a29528c314db6efb6a4c1b7fb63e4d09e778c7b70330fe7

    We adapted its EDF header parser and HTTP byte-range reader (fetch_features.py) for code/fetch_lags.py, and used its ds007118/9/20 file list for the metadata check that caused plan amendment 1.

  2. usesA pre-registered test confirms longer aperiodic-knee timescales at inferior SEEG pairs in 18 pediatric patients sci:sha256:4a691953053474a46adca3df5ab7c1eda754ecd2bb7fe7ff06efa37007928ab4

    We used its list of the 18 UCLA SEEG subjects in ds005398, its copied sidecar files (channels.tsv, electrodes.tsv, ieeg.json, S3 key list) and its pair rules (status good, bad 0, distance <= 10 mm, label filter).

  3. usesdoi:10.18112/openneuro.ds005398.v1.1.3

    This version of the Open iEEG Dataset supplied the sleep SEEG signals, subject sidecars, bipolar channels, and MNI coordinates analyzed in this publication.

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