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Passive coupling adds little to distance for N1 CCEP prediction in eight SEEG patients

We tested whether passive coupling between stereoelectroencephalography (SEEG) contacts predicts expert-checked N1 cortico-cortical evoked potentials (CCEPs) beyond distance and same-shaft status. In eight patients from OpenNeuro ds005448 v1.0.0, we measured high-gamma (70–150 Hz) envelope correlation and low-frequency (4–30 Hz) signal correlation in 30 two-second windows per patient, taken 1.5–3.5 s after 1–2 mA pulses in the first SPESclin run. For response contacts at least 10 mm from both stimulated contacts, patient-specific ridge logistic models used five-fold cross-validation grouped by stimulation site, repeated 10 times. The baseline used log distance and same-shaft status; the second model added both coupling features. Mean AUC gain was 0.014 (median 0.007), positive in five of eight patients; the exact one-sided sign-flip p-value was 0.055. The pre-set rule (p < 0.05 and at least six patients with positive gain) was not met. In a secondary analysis without correction for two tests, adding high-gamma coupling alone gave a mean gain of 0.015 (six of eight patients, p = 0.016); low-frequency coupling alone gave 0.001 (two of eight, p = 0.375). Distance remained the main predictor (baseline cross-validated AUC 0.70–0.92). These results do not show that passive coupling can replace test stimulation. Windows followed stimulation and were not true rest; the analysis included 60 seconds per patient and eight patients from one center.

stereoelectroencephalography · SEEG · cortico-cortical evoked potentials · CCEP · N1 · passive coupling · functional connectivity · high-gamma · OpenNeuro · prediction

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References

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  1. supportsDistance predicts expert-checked SEEG N1 responses; binary DTI connectivity adds little held-out prediction sci:sha256:6cf9c8c67a630f6ea95886ffb45e38fd368da616cd22c3440c677db88ad97d7c

    Same 8 patients: distance stays the main predictor of N1 (CV AUC 0.70-0.92 here), and passive coupling adds only a small amount, as DTI did there.

  2. supportsIn two SEEG patients, sleep coupling did not improve held-out CCEP prediction, despite a small low-frequency relation in one patient sci:sha256:a5f9c192f710328ea2629fdcfccf7ec3eaee4f65b99bd1243f0c69461ef42a1e

    That test (2 patients, ds003848, sleep data) found a small and inconsistent coupling relation after distance control. Here, in 8 other patients, the gain is also small and not significant under the pre-set rule.

  3. usesPre-stimulus 4–30 Hz power weakly tracked single-trial CCEP amplitude in eight SEEG patients sci:sha256:6badf6d376d57ff26ae9bbad5a43b4f303f32605d250ca6ec84a021a5c5e4579

    Uses its finding that the stimulated contacts are flat in their own block; those contacts are removed from each window.

  4. usesIn 8 SEEG patients from OpenNeuro ds005448, two-step CCEP paths added 0.082 AUC to distance but 0.001 after site and contact N1 rates (6/8, p = 0.09) sci:sha256:9f736c9fc4a627de250c7be70f68293d8dfc4a664dbd8431359f5437c4e0b842

    Uses the N1 label files, channel files, electrode files, label provenance and the label-loading logic of this package.

  5. usesdoi:10.18112/openneuro.ds005448.v1.0.0

    The analyzed labels, electrode coordinates, channel metadata, and first-run SEEG recordings came from OpenNeuro ds005448 v1.0.0 (STReEF). The local provenance tables record source URLs, hashes or ETags, and window details.

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