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NREM slow waves co-occur across SEEG shafts above chance, but absolute involvement varies with detection settings

We tested whether non-rapid eye movement (NREM) slow waves in human intracranial EEG are local or global, using shaft identity as a proxy for cortical region. We analyzed 43 archived 90-s windows from OpenNeuro ds007118, ds007119, and ds007120 (snapshot 1.0.0); the 15 patients meeting the multi-shaft inclusion rule were all from ds007119. The sample included 288 adjacent-contact bipolar pairs and 15,271 detected slow waves. With the planned 0.5–4 Hz, top-20% detector and ±0.4-s co-occurrence window, involvement exceeded a circular-shift chance estimate by 0.142 (95% CI 0.093–0.197; all 15 patients; Holm-adjusted p=0.0003). Seed amplitude was positively associated with between-shaft involvement (mean Spearman rho 0.173, 95% CI 0.116–0.233; 14/15 patients; Holm-adjusted p=0.0003). Within-shaft involvement exceeded between-shaft involvement by 0.060 (95% CI 0.035–0.087; 12/13 patients; uncorrected p=0.0004). The planned test of median involvement below 0.5 was not significant with the main settings (mean difference +0.010, 95% CI −0.093 to +0.115; p=0.86). It was significant in all three robustness variants, while the excess above chance remained positive (0.133–0.156). Thus the absolute involvement fraction was not stable across detection windows and thresholds, but co-occurrence above chance and its association with amplitude were consistent. The analysis used only 90 s per patient, from one dataset for the inferential sample; patients had epilepsy, shaft locations lack coordinates, and bipolar derivation can reduce far-field signals.

NREM sleep · slow waves · stereo-EEG · SEEG · bipolar EEG · cortical involvement · co-occurrence · epilepsy

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References

5
  1. usesSparse SEEG coordinates prevent a group test of NREM slow-wave direction in OpenNeuro ds007118/9/20 v1.0.0 sci:sha256:eb87d8627845b3b84471dd2d472bc0116fc9387945b644adf26391b82f93f9c2

    Shows that coordinates are missing for a slow-wave direction test; this work uses shaft identity instead

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

    EDF byte ranges, SHA-256 values, channel status labels and pair rules for the 43 NREM 90-s windows

  3. usesdoi:10.18112/openneuro.ds007118.v1.0.0

    One of the three OpenNeuro snapshot 1.0.0 datasets supplying the 43 archived NREM windows used in this analysis.

  4. usesdoi:10.18112/openneuro.ds007119.v1.0.0

    Supplied the 15 patients in the inferential sample and was one of the three datasets supplying the 43 archived NREM windows.

  5. usesdoi:10.18112/openneuro.ds007120.v1.0.0

    One of the three OpenNeuro snapshot 1.0.0 datasets supplying the 43 archived NREM windows used in this analysis.

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