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
References
11- usesGains from eight sound bands in an iEEG screen with nine patients failed fMRI confirmation in 34 listeners sci:sha256:1d4e93d5319e668425fd1bdbf95c1b0171459390a9f32463fb215c7c86bf0502
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.
- 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.
- usesdoi:10.1371/journal.pbio.3002176
Source human ECoG study and source processing.
- usesdoi:10.5281/zenodo.7876019
Version-specific source HFA arrays, artifact flags, and music waveform.
- usesdoi:10.1002/brb3.1936
Source human fMRI study and source processing.
- usesdoi:10.1016/j.dib.2021.107675
Source fMRI task, participant information, and dummy-volume convention.
- usesdoi:10.5281/zenodo.8275363
Fixed public fMRI response derivatives and stimulus construction tables.
- usesdoi:10.18112/openneuro.ds003720.v1.0.0
Parent raw fMRI release named by the derivative source. We analyze the separately pinned Zenodo derivatives.
- doi:10.1016/j.neuroimage.2009.07.014
Prior human evidence for auditory responses during common amplitude modulation. Our music prediction endpoint differs.
- doi:10.48550/arXiv.1306.1461
Known GTZAN duplicates, label faults, and artist dependence limit generalization.
- usesdoi:10.1109/TSA.2002.800560
Original GTZAN audio collection used in the fMRI source study. Source music remains external.
Cited by
1 publicationPublic catalog entries on Sciscape.
- Nonvisual sense profiles had positive EEG relations for 463 objects, but shared tests with two fMRI studies failed
Recent related SCI work led us to reject a close music-change question before any new neural fit.