sciscape Publications
← All publications

Equal-energy pooling gave a larger mean gain over the harmonic local score between files than within files in 36 patients with 1–80 Hz SEEG

We measured how equal-energy covariance pooling changes participation ratio in 36 patients with public SEEG. At 1–80 Hz, the mean gain was 5.72% within files and 9.93% between files. The paired difference was 4.20 percentage points, with a 95% patient bootstrap interval of 2.64–6.08. Gains use the harmonic mean of local scores. Exact formulas separate spectrum differences from spatial alignment differences. An added check with separate filter segments gave a difference of 3.94 points. All 72 raw recordings were rebuilt for each design. Independent trace calculations and complete repeat checks passed. The package preserves code, primary inputs, provenance, results, figures, and retrieval instructions. The results concern estimated covariance in short windows from patients with epilepsy. They do not establish a change in brain state or neural source count.

SEEG · participation ratio · covariance pooling · signal dimensionality · epilepsy

Admitted 0 citing publications

References

4
  1. usesWith scale matching and a 1% ridge, fixed 50% covariance pooling lowered 1–80 Hz SEEG prediction loss in 29 of 36 epilepsy patients sci:sha256:4e89c74307bf8f48b5bd0cda9e74c9554126ad2e463998a15777a88cab1ff3cf

    This work supplied separate-filter covariance inputs and extraction code for an added check. We rebuilt its derivatives from public raw data.

  2. usesIn 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files sci:sha256:daf70bbdcc88f893fea25fa9870f5621a6fd8289ee4133a9ec263f83268cd815

    Its known between-file covariance shape result informed our question in the same cohort. We tested participation-ratio pooling and its exact spectrum and direction decomposition.

  3. usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients sci:sha256:901bade82e1972a491fb8b27d87ddf5ae157f439c20fb612d6d24768419473f2

    This work supplied all primary covariance inputs, contact geometry code, metadata, licenses, and the pinned public raw retrieval recipe.

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

    The analysis used the OpenNeuro ds004100 version 1.1.3 HUP iEEG dataset; the exact snapshot and CC0 license are recorded in the source metadata.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.