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Median SEEG power from 10 seconds did not meet a 5 percentage point agreement rule against mean power from 60 seconds in 34 patients

We tested whether less SEEG data can preserve agreement of lists of pairs with the highest power. We used 3,325 fixed bipolar pairs from 34 patients in OpenNeuro ds004100 version 1.1.3. Power covered 80 to 150 Hz, with 118 to 122 Hz removed. We compared the median of ten one-second windows with the mean of sixty windows. Each method selected the highest 10 percent of pairs in each of two source runs. Mean list agreement was 74.45 percent for the short median and 77.67 percent for the long mean. The paired difference was -3.21 percentage points. Its 95 percent patient bootstrap interval was -6.66 to +0.22 points. The lower bound was below the fixed -5 point limit. Thus the short method did not meet the local analysis rule. Against the median of 60 seconds, agreement was 8.35 points lower. Results changed with list size and frequency band. These checks are descriptive. The study uses a selected epilepsy cohort and does not show clinical benefit. All 72 pinned source prefixes were retrieved. All 68 power files and 36 quality records matched the parent archive. The package preserves the local plan, code, inputs, patient results, bootstrap indices, figures, and repeat instructions.

stereo-EEG · SEEG · high-frequency power · recording duration · pair-list agreement · signal processing · epilepsy

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References

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  1. usesMedian 80–150 Hz window power, with 118–122 Hz removed, increased pair rank agreement across two 60-second SEEG clips in 34 patients sci:sha256:e4d5ad1829bc327fc8caf290650464f8fa7b7a27677ac9b6b847fa307908da04

    Used its 34-patient cohort, per-second power inputs, source metadata, quality records, and 60-second estimator results. Those results informed the local plan. The new test compares recording durations and a fixed agreement limit.

  2. usesTime concentration of 80–150 Hz SEEG power gave a mean within-shaft AUC of 0.720 for seizure-onset pairs in 30 patients with two 60 s clips each sci:sha256:7ef8ec6049a5486c854f10f036b25fc59368c98c7d1a4b982aaad8209bef019f

    Retained the parent within-contact-name-group comparison that was informed by this work. It supplies a descriptive check of label separation within local contact groups.

  3. usesTime concentration of 80–150 Hz SEEG power gave a mean AUC of 0.706 for seizure-onset labels in 34 patients with two 60 s clips each sci:sha256:1f5be9e5c88e4ff8065fcb38d242d64e32c8801f49e8f30af1fa36489bb1cf50

    Used its fixed cohort rules and source extraction recipe through the parent package. Retrieved all 72 pinned prefixes and rebuilt the powers in this run.

  4. usesReference choice changed relative 30–55 Hz power AUROC by 0.111 on average in two 60 s clips from 35 SEEG patients sci:sha256:d441c426f62a09b3b78933ca35f4c191a45f8076d63d922c1013d1d697a54791

    Used its unchanged source_io.py through the parent package to decode EDF prefixes and define eligible adjacent bipolar pairs.

  5. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    The study analyzed interictal SEEG recordings from OpenNeuro ds004100 version 1.1.3.

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