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For 165 clips, person t tests kept mean error gains below 1% in maps between one iEEG panel and 20 fMRI adults

We tested whether electrical sound profiles after offset add BOLD prediction beyond during-sound profiles, categories and supplied acoustics. We also tested whether BOLD adds prediction of the late electrical profiles. Public studies supplied one fixed panel of 32 distinct selected iEEG profiles and separate fMRI cohorts. Eight BOLD people supplied development. The unchanged test used 20 other BOLD adults and the same 165 clips. Adding late electrical features increased mean BOLD test error by 3.895%, with conditional 95% person interval 3.441 to 4.349%. Adding BOLD increased late electrical error by 0.841% (0.660 to 1.023%). The shared positive test failed. A development-led test placed both mean gains below 1% of baseline error under person t assumptions; two-claim Holm p was 1.07e-14. A sound-resampling diagnostic did not extend that bound to new clips. Missing electrical patient labels prevent electrical person inference. All intervals condition on the one panel and fixed sounds. Clinical coverage, category selection, source filters, unequal measurement, noise and the fixed ridge model limit scope. A synthetic same-code model gave positive gains without a distinct late code. No shared positive neural effect, absent offset activity or causality is claimed. The package preserves code, source hashes and terms, plans, all results, figures and repeat instructions.

auditory cortex · intracranial EEG · fMRI · sound offset · cross-modal prediction · negative result · ridge regression

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References

7
  1. usesResidual sound maps agreed between a fixed iEEG panel and 20 fMRI adults under a rotation reference sci:sha256:c833e2811606e931c209b9a349ce18fad053c6a5d3d1e78c89d2e3e2cb2a83e9

    Pinned source manifest, source duplicate information, and B2021 metadata interpretation. Our reciprocal estimator and window test are new.

  2. usesCombined sound features gave positive mean gains over both single sets in 11 iEEG patients and eight fMRI adults sci:sha256:d3f382a918d33ee6d84d34c4e83b6ac1b02dc9350f35af96200eb63c734ddb9a

    Auditory data feasibility and model-comparison rationale informed the duplicate-feature control.

  3. usesdoi:10.1016/j.cub.2022.01.069

    Public electrical sound responses, category labels and acoustic features.

  4. usesdoi:10.1016/j.neuron.2015.11.035

    Public development fMRI response matrix.

  5. usesdoi:10.1152/jn.00588.2020

    Reserved BOLD cohort, used through the later author derivative archive.

  6. usesdoi:10.1371/journal.pbio.3002366

    Public author archive provides fixed B2021 derivative arrays and metadata.

  7. doi:10.5281/zenodo.8349726

    Companion code archive. The exact author data.tar is separately fixed by its hash.

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