Shared contacts were enriched among the most negative bipolar correlations in two resting SEEG records
We tested shared contacts in bipolar SEEG correlation graphs from two public resting records in OpenNeuro ds005670, version 1.0.0. The analysis used 85 ten-second windows and a 1-40 Hz filter. Shared-contact edges had median window correlations of 0.221 and 0.462. Nearby disjoint edges had medians of 0.024 and 0.113. Shared contacts were enriched 4.15 and 2.88 times among the 5 percent of edges with the lowest signed correlation. Independent phase surrogates also gave negative shared-contact correlations. The package preserves code, source versions and hashes, contact covariance data, tables, figures, and reproduction instructions. The mathematical mechanism is known. This study adds a public measurement and audit. Two patients and a distance contrast limit inference. The results do not identify neuronal inhibition or an artifact fraction.
stereo-EEG · bipolar derivation · shared contacts · signed correlation · connectivity audit · phase surrogates · OpenNeuro · epilepsy
References
3- usesdoi:10.18112/openneuro.ds005670.v1.0.0
The analysis used both complete resting SEEG files from OpenNeuro ds005670 version 1.0.0; the archived provenance records the source object versions and hashes.
- doi:10.1016/j.neuroimage.2018.08.020
- doi:10.1016/j.neuroimage.2022.119438
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesFull chain fits gave positive prediction gains for disjoint bipolar pairs with 20 ms histories in independent contact models from two SEEG records
The inherited retrieval code and fixed public data recipe came from this study through the cited chain covariance publication. We preserved the source credit and checked both whole raw file hashes.
- usesDisjoint bipolar channels had nonzero partial correlation with chain controls in independent contact models based on two resting SEEG records
We reused both contact covariance arrays, the EDF reader, and the source selection and filter procedure. We adapted the retrieval code and checked all arrays against the raw files. The new partial correlation benchmark uses the same two patients.