One scalar weight predicted separate-file SEEG correlation maps better than repaired link-specific weights in 36 patients
In 36 patients with epilepsy, this study compared one reliability weight for a correlation map with a separate weight for each link followed by nearest correlation matrix repair. The primary test used 1–80 Hz bipolar SEEG links between named shafts and predicted correlations in a separate recording file. Repaired link-specific weights increased group mean squared error by 4.54% relative to the scalar method (patient bootstrap 95% interval 2.77 to 6.26%; higher error in 31 of 36 patients). Three of 36 primary link-weight matrices failed the prespecified positive semidefinite limit before repair; all repaired matrices passed. Repair changed mean squared error by only 0.0000004825 and did not close the gap. Planned checks had the same mean direction except that the 30–80 Hz interval included both directions. All 72 public-source covariance rebuilds matched the archived inputs exactly. The finding applies to the specified two-block rule and these recordings; it does not show that all link-specific methods have higher error, establish neural coupling, or demonstrate clinical value.
stereoelectroencephalography · correlation matrix · shrinkage · prediction error · matrix repair · bootstrap · epilepsy
References
4- usesBlock variance shrinkage reduced mean squared error for 1–80 Hz bipolar SEEG correlations between shafts in separate files from 36 patients sci:sha256:fd6b98927a0cd6fab67e659b3dab9f8d5cba3aea96f3d1603f48ed3aa09e97a9
This source supplied all 72 disjoint-filter covariance inputs for 36 patients. Its scalar block variance rule informed the comparator. This study tested a separate weight for each link with matrix repair. The cohort was reused.
- usesIn 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files sci:sha256:f663d71b5fe518a4b49eafc4b56264ce4f5dc80dad0e319618842dac64c731a5
The public-source rebuild used the inherited EDF header parser and pinned range retrieval records. The parser code and MIT notices are preserved. All 72 rebuilt covariance files matched the included arrays exactly.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The study used all 36 eligible patients and covariance inputs derived from OpenNeuro ds004100 v1.1.3; the archived source records preserve the pinned metadata commit, retrieval ranges, object versions, and hashes.
- supportsdoi:10.1093/imanum%2F22.3.329
This paper describes the nearest correlation matrix method used to repair the link-specific estimates; it does not supply the empirical SEEG result.
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