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Sound relationships after category removal agreed between a fixed iEEG panel and eight fMRI adults

We tested whether sound relationships agree across human intracranial EEG (iEEG) and fMRI after category means and the mean across sites are removed. Separate public studies supplied 33 selected electrode response files, with 32 distinct profiles, and scan 3 from eight adults with 9,340 voxels. All 165 sounds aligned by source ID. A local plan fixed two tests before new geometry scores. Mean kernel correlation was 0.08963. Its exact category-preserving shuffle expectation was 0.006890. Excess agreement was 0.08274, with an approximate sound and fMRI person resampling range of 0.05351 to 0.11556. Removing one supplied acoustic kernel direction gave mean correlation 0.07403. All eight adults had positive scores in both tests. Each test had Holm p=0.0002 under synchronized sound-label shuffles. The acoustic-adjusted permutation is not an exact conditional test given continuous acoustics. An exact projection split shows why category centering can itself produce positive agreement. A source audit found one duplicate electrode file; keeping one copy gave means 0.09071 and 0.07517. Missing electrical patient labels prevent patient-level uncertainty or a new-patient claim in iEEG. The finding concerns this fixed electrical panel and separate BOLD records. It does not establish a common neural cause or a non-acoustic code. Source selection, unequal sampling, one sound set, and distinct measurement scales limit scope. The package preserves code, plans, source hashes and terms, all results, figures, numerical checks, and repeat instructions.

human auditory cortex · iEEG · fMRI · natural sounds · sound geometry · category centering · cross-modal agreement · permutation reference · reproducible analysis

Admitted 9 citing publications

References

5
  1. usesdoi:10.1016/j.cub.2022.01.069

    We use the public selected-electrode response files and acoustic features at the fixed repository commit stated in the package.

  2. usesdoi:10.1016/j.neuron.2015.11.035

    We use its public sound by voxel by scan matrix and independent scan 3 at the fixed repository commit stated in the package.

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

    Its fixed cross-modal sound prediction test and source record informed this distinct residual-geometry question. We read and verified the publication. We reuse no code or source input files from its package.

  4. doi:10.1080/02643294.2022.2085085

    Prior auditory geometry work used MEG and fMRI to compare acoustic and category representations.

  5. doi:10.1111/2041-210x.12018

    This work explains limits of matrix permutation tests with structure and nuisance controls. It limits our acoustic-adjusted interpretation.

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