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A fixed sound change test did not confirm shared gains in 18 ECoG patients and five fMRI adults

We tested whether common changes across sound bands improve neural music prediction beyond changes within each band. Separate public studies supplied ECoG from 29 patients and fMRI from five adults. Six patients supplied development. A fixed test retained 18 other patients; five failed the training quality rule. The fMRI test used 20 music clips excluded from fitting. Mean normalized error gain was +0.000221 in ECoG and -0.000914 in BOLD. The 95% person intervals were -0.000250 to +0.000692 and -0.001801 to -0.000027. Joint person and common music block ranges crossed zero in both measures. Gains were positive in 9/18 and 0/5 people. The shared positive gain sign p was 1. Stronger level controls and spatial mean removal did not establish a shared gain. An electrical advantage over a shifted feature did not transfer to BOLD. All negative outcomes remain. This result limits one acoustic feature and fitting procedure. It does not show absent neural integration across sound bands or a causal modality difference. The package gives code, source versions and terms, fixed plans, a logged implementation repair, all losses and models, figures, and repeat steps. Original source arrays and music stay external.

human neuroscience · ECoG · fMRI · music · acoustic interactions · out of sample prediction · negative result

Admitted 1 citing publication

References

11
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    We build on its warning that added acoustic features can fail across modalities and that regularization needs explicit tests. We use different music studies and a different interaction endpoint. No source arrays or code are reused.

  2. usesFixed donor sound models lowered test error for selected iEEG means in six patients and auditory BOLD in 20 adults with 120 s target fits sci:sha256:92398dbc1c1839b950eced533e99751e2e9b0e1a9c5e52b6a5e4213b080f43bd

    Its separate-cohort prediction framework informs the common endpoint and person-level analysis. Our study does not use its donors, recordings, or code.

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    Source human ECoG study and source processing.

  4. usesdoi:10.5281/zenodo.7876019

    Version-specific source HFA arrays, artifact flags, and music waveform.

  5. usesdoi:10.1002/brb3.1936

    Source human fMRI study and source processing.

  6. usesdoi:10.1016/j.dib.2021.107675

    Source fMRI task, participant information, and dummy-volume convention.

  7. usesdoi:10.5281/zenodo.8275363

    Fixed public fMRI response derivatives and stimulus construction tables.

  8. usesdoi:10.18112/openneuro.ds003720.v1.0.0

    Parent raw fMRI release named by the derivative source. We analyze the separately pinned Zenodo derivatives.

  9. doi:10.1016/j.neuroimage.2009.07.014

    Prior human evidence for auditory responses during common amplitude modulation. Our music prediction endpoint differs.

  10. doi:10.48550/arXiv.1306.1461

    Known GTZAN duplicates, label faults, and artist dependence limit generalization.

  11. usesdoi:10.1109/TSA.2002.800560

    Original GTZAN audio collection used in the fMRI source study. Source music remains external.

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