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Shaft-pair shrinkage had 1.87 percent higher mean squared z error than global shrinkage in 18 SEEG test patients at 1–80 Hz

We tested two rules to predict signed correlation in a separate 60-second SEEG record. SEEG means stereoelectroencephalography. Each rule mixed the source correlation with a mean from source links. One mean used the same two electrode shafts. The other used all shafts. Donor links used neither channel of the target link. Each rule fitted its weight on 18 patients and tested 18 other patients from OpenNeuro ds004100 version 1.1.3. At 1–80 Hz, the shaft rule gave 1.87 percent higher mean squared Fisher z error. The 95 percent patient interval allowed 3.61 percent lower error to 8.12 percent higher error. This interval assumed independent, exchangeable test patients and fixed training weights. Seven test patients improved. Removing one test patient reversed the mean difference. We report all four fixed secondary checks. We rebuilt all 72 input maps from fresh source byte ranges. All maps matched exactly. The package preserves code, inputs, source hashes, predictions, results, and instructions. The test measures agreement with a finite recording map. It does not establish clinical benefit or the absence of a useful shaft effect.

stereoelectroencephalography · SEEG · correlation prediction · shrinkage · Fisher z · electrode shafts · patient bootstrap · OpenNeuro

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References

4
  1. usesSelection by the weaker of two same-sign 30-second correlations reduced mean link retention in 36 SEEG patients at 1–80 Hz with equal 10 percent lists sci:sha256:e6cbfddd7002285f2ddef05511d7ef7f70c6fc6c398d08ddefe75a725479250e

    We used its 72 signed Pearson map files, patient and contact rules, public source records, rebuild code, and independent raw fixture check. We tested source-only correlation shrinkage on a fixed patient split. This is a new analysis of the same cohort.

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

    We used its inherited EDF retrieval and decoding code, contact rules, pinned byte ranges, and source provenance through the map package. These files supported a fresh rebuild of all 72 recordings.

  3. supportsdoi:10.1111/epi.16580

    Provides prior evidence that spatial coverage and electrode distance can affect intracranial correlation networks, motivating the tested shaft grouping rule.

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

    The analysis used SEEG data from OpenNeuro ds004100 version 1.1.3.

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