Brain region groups gave no clear gain for joint 4–30 Hz SEEG power forecasts 100–500 ms after pulses at 82 sites in eight people with five fit pulses and Student t models with four degrees of freedom
Brain region groups gave no clear gain over separate shaft scales for joint SEEG log-power forecasts. The test used 4–30 Hz power at 100–500 ms after pulses, five fit pulses per site, and fixed Student t models with four degrees of freedom. It used 82 sites, 546 later pulses, and eight people from OpenNeuro ds004696 version 1.0.1. All models had the same single-shaft forecasts. The mean region gain was −0.000772 nats per shaft. The descriptive 95% person bootstrap interval was −0.005447 to 0.003964. Exact controls covered all 708 group partitions with the same sizes. Region groups beat the mean loss of arbitrary groups, but had no clear gain over their proper density mixture. A similar group pattern occurred before stimulation. The result does not show equivalence or a stimulation-specific effect. The package contains three figures, compact data, all pulse scores and partition densities, code, fixed source versions and hashes, and reproduction instructions. A complete source file was freshly rebuilt. Independent density checks and an exact replay passed.
SEEG · joint forecasting · brain stimulation · power · Student t distribution · anatomical regions · partition controls
References
4- usesA fixed model gave no clear 4–30 Hz power forecast gain from input ending 20 ms versus 500 ms before a pulse for targets at 100–500 ms after the pulse in eight SEEG sessions sci:sha256:7def033d65e62e11ff56502733ae76b99a84f7764072fd1b8d669d98536e3b22
Its all-pulse band powers, native voltage examples, contact and event metadata, and full-source extraction and retrieval code are preserved through the direct input archive. They support this new joint forecast comparison and the fresh full-source rebuild.
- usesA shared scale in a Student t model with four degrees of freedom raised mean 4–30 Hz SEEG joint forecast loss at 100–500 ms after five fit pulses at 82 sites in eight sessions sci:sha256:6e7ea9ca4d4f32e7674afdef29e490b4f7b085e0264f17daf665d4e39ef1abfc
This work uses its complete compact input archive, fixed remote-shaft pair rule, five-pulse fit rule, matched Student t margins, source versions and hashes, and density code. The new test adds fixed brain region blocks and exact size-matched partition controls.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The analysis uses native voltage segments and metadata from OpenNeuro ds004696 version 1.0.1.
- doi:10.1523/JNEUROSCI.2201-22.2023
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