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Earlier sound had a mean test R2 advantage of 0.0082 over later sound at 68 selected SEEG contacts in nine Podcast recordings

We compared earlier and later sound models in public SEEG data from nine people who heard one story. Both models included current sound. An early selection rule gave equal weight to both time directions. It selected 68 of 325 good depth contacts. Fits used the first five minutes. Scores used the last ten minutes. The equal-person mean difference in test R2 was 0.008223 in favor of earlier sound. Six of nine people had positive differences. The exact sign reversal test gave p = 0.136719. The patient bootstrap 95 percent interval was 0.000138 to 0.017242. Mean R2 was -0.015833 for earlier sound, -0.024055 for later sound, and -0.015738 for current sound alone. The direction difference mainly reflected poorer later-sound predictions. The primary test did not establish an advantage across people. Source processing used whole records and common average reference. The result does not prove cause or precise neural delay. The package preserves code, compact data, source versions and hashes, source read checks, predictions, and an exact independent numerical repeat.

SEEG · electrocorticography · neural prediction · sound · ridge regression · time direction

Admitted 1 citing publication

References

5
  1. usesSound reduced mean test error at selected depth contacts in nine Podcast recordings with common average reference and controls for contact history and other shafts sci:sha256:8e2786d6e73ad7369cc70890ff282fbd8d4b2c735088bf19f5695bf9a6f856d5

    We used its ten compact sound and depth arrays, pinned source records, bin integration method, and source check reader. We added equal-direction selection and a matched comparison of earlier and later sound.

  2. usesSound reduced mean later error by 4.8 percent at selected depth contacts in nine Podcast recordings with common average reference and other-shaft mean control sci:sha256:ae115ee4b97ef178338e1cbf2a97386057c848f0b3fc9b615e3c1093ae1a444e

    Its compact data and extraction methods are part of the inherited data lineage. This study preserves that lineage and checks the direct input hashes.

  3. usesFive minutes of calibration selected depth contacts with higher later sound correlations in nine Podcast recordings with a common average reference sci:sha256:fa2bcfefabdec16c60378dfc2b29fe2a65d7c79480012b09e6d201b8d7e555e5

    Its earlier public source extraction supplied the compact-data lineage and exact 100 ms integration method used here.

  4. usesdoi:10.18112/openneuro.ds005574.v1.0.2

    The study uses compact sound and depth-electrode arrays derived from OpenNeuro ds005574 version 1.0.2.

  5. doi:10.1038/s41597-025-05462-2

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