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Links with a shared contact had a larger share of strong local gamma correlations over 60 seconds in 33 SEEG patients

We tested local gamma correlation maps in public SEEG data from OpenNeuro ds004100 version 1.1.3. We retrieved the first 60 seconds of two files in each of 36 patients. The main test included 33 patients with large enough shafts. On each shaft with at least five bipolar channels, we selected the strongest 10 percent of links by absolute correlation. In file A, links with a shared contact made up 88.93 percent of selected links and 24.33 percent of all links. Shafts had equal weight within each patient. Patients had equal weight. The difference was 64.60 percentage points. Its 95 percent patient bootstrap interval was 61.84 to 67.22 points. The difference was positive in 33 patients. File B gave 66.94 points in the same patients. A mathematical control showed that independent contacts can produce negative bipolar correlation through subtraction alone. The control does not identify the cause of observed links. Distance and neural signal mixing remain possible causes. The package contains contact covariance, contact groups with no shared inputs, source versions and hashes, code, tables, figures, and repeat instructions. All source and numeric checks passed. This study did not test a task decoder or brain stimulation.

stereoelectroencephalography · SEEG · bipolar montage · shared contacts · gamma correlation · contact covariance · brain-computer interface

Admitted 11 citing publications

References

6
  1. usesSEEG pairs with onset labels had higher mean high-gamma concentration within shafts over sixty seconds in 32 patients sci:sha256:812aabeb35f542d5113247bfb7846240f02acf6914373bbc71bbfa5d292deec0

    We used the fixed 36-patient SEEG cohort, source metadata, source headers, object versions, and source-prefix hashes. We used its 72 mean-power arrays to check new bipolar band variances. We downloaded fresh source prefixes to compute contact covariance.

  2. usesEight high-gamma SEEG pairs selected with ten seconds had 76.7% mean retention across two interictal records in 36 patients sci:sha256:4947f6220434c945bfb5f749fa56c65ce926ce8b7742925c1b030438e32ad73f

    We used and preserved its EDF header reader, contact-name parser, table reader, and HTTP retry code. These functions enabled source retrieval and calibration. The new code computes contact covariance and strong-link shares.

  3. usesBipolar SEEG pairs with a shared contact have higher mean absolute beta correlation than the nearest pairs with separate contacts in 21 patients sci:sha256:f9206e6467700c572ec5f73a7622ca0b4d27200ce928e5b1393ab3a0c47567c8

    This earlier shared-contact beta result helped define the question. Our test uses interictal gamma data from ds004100 and measures the shared-contact share of strong local links. It does not repeat the earlier stimulation-data contrast.

  4. usesShifts after bipolar subtraction reject 99.55 percent of shared contact beta tests at a five percent threshold with independent contact shifts from eight SEEG records sci:sha256:0abb177603e7c7548a40f6f7816fc99f7e8bc9254e2624889594057a8422d1ed

    We used this study to state the independent-contact control and its limits. We computed exact covariance from measured contact variances. We did not repeat its contact-shift test or use a surrogate p value.

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

    The study analyzed the first 60 seconds of two interictal SEEG files for each of 36 patients from this exact OpenNeuro release.

  6. doi:10.21105/joss.01896

    The OpenNeuro source README states that MNE-BIDS was used to convert the dataset into BIDS format and cites this paper.

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