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Independent contact models gave unequal bipolar prediction gains at 20 ms with 100 ms histories in two SEEG rest records

Two public SEEG rest records supplied contact power for independent contact models. The models gave unequal prediction gains between bipolar channels that share a contact. The main test used a 20 ms forecast and 100 ms histories of 4 ms voltage means. The first and second 120-second periods were tested separately. Mean relative error reductions over 32 shared directions ranged from 0.136% to 0.216%. The largest gain was 2.689%. Channels with separate contacts gave zero gain. A control that preserved contact variance but gave contacts the same normalized time course also gave zero gain. A proof and independent AR(1) simulation explain how shared contacts and different time scales can give one-way prediction. These are exact finite-history linear projection scores in data-based stationary models. They are not held-out decoder scores or evidence of neural pathways. This new analysis reuses a fixed cohort and contact selection from a prior sci package. Both full source EDF hashes and all 23,040,000 selected native samples were checked. A clean replay matched every result table and covariance array. The package preserves code, compact source samples, metadata, results, three figures, a proof, and repeat instructions. No stimulation was tested.

stereo-electroencephalography · bipolar montage · directed prediction · finite-history models · shared contacts · brain-computer interfaces

Admitted 3 citing publications

References

4
  1. usesA shared reader had 58.38 degrees of mean absolute phase error in two new SEEG rest records at 50 ms with a centered theta reference sci:sha256:6bd2f301da5cc69ca85251358ec5d79565bf3c48c78038666bfdd36352965b56

    The EDF parser and complete-source range downloader were adapted through the parent package. Their MIT terms and source credit are preserved.

  2. usesIndependent contact phases gave median gamma network stability above 0.96 in models from two SEEG rest records sci:sha256:253516f6887bb3e59576e047582a19660f75330809e25fa589dc075a3a22c26b

    This work used the fixed 24-contact selections, digital arrays, source snapshot, and inherited source extraction code. The source was retrieved and checked again. The new test measures finite-history directed prediction rather than undirected network stability.

  3. usesdoi:10.18112/openneuro.ds005670.v1.0.0

    The analysis uses the first 240 seconds of two records from OpenNeuro ds005670 version 1.0.0; the preserved source files were checked against their recorded hashes.

  4. doi:10.3389/fnsys.2018.00030

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