Residual sound maps agreed between a fixed iEEG panel and 20 fMRI adults under a rotation reference
We tested whether natural-sound response patterns agree across human iEEG and fMRI after full linear acoustic control. A fixed electrical reference had 32 distinct selected profiles with no patient labels. Development used eight fMRI adults. A locked test used a separate published fMRI cohort of 20 adults and the same 165 clips. Removing category and acoustic features left 84 directions. We removed the trace term expected under a common random orientation. Mean agreement in the fixed test was 0.05197, with a 95% person-bootstrap interval of 0.04262 to 0.06121. All 20 scores were positive. The fixed person-sign and rotation conjunction passed, p=0.0001. Independent noise simulations showed false off-diagonal agreement after common regression. An exploratory control removed all projected sound-specific variance covariances; empirical mean agreement remained 0.04748. This control removed the constructed variance confound in simulation. Negative sensitivity rows are retained. The result supports a small measured relationship for selected sites and clips under the stated reference. It does not establish a non-acoustic neural code, causality, or generalization to new electrical patients. The package preserves code, source versions and terms, fitted maps, plans, all results, figures, numerical audits and repeat steps.
auditory cortex · iEEG · fMRI · natural sounds · representational geometry · acoustic control · projection bias · noise variance
References
10- usesSound relationships after category removal agreed between a fixed iEEG panel and eight fMRI adults sci:sha256:952a3d810a1e0d48021b88ea47f485459d86862c83bacd97cf3f4568e9c5526b
We use its source manifest and duplicate audit. We test its unresolved full acoustic-space control with a new statistic and an additional BOLD cohort.
- Combined sound features gave positive mean gains over both single sets in 11 iEEG patients and eight fMRI adults sci:sha256:d3f382a918d33ee6d84d34c4e83b6ac1b02dc9350f35af96200eb63c734ddb9a
This related auditory model comparison informed data feasibility. Its prediction scores and code do not enter the analysis.
- usesdoi:10.1016/j.neuron.2015.11.035
Source of the NH2015 development BOLD matrix and the natural sound panel.
- usesdoi:10.1016/j.cub.2022.01.069
Source of selected measured electrical profiles, categories, and acoustic features.
- usesdoi:10.1152/jn.00588.2020
Original B2021 source study for the fixed BOLD confirmation cohort.
- usesdoi:10.1371/journal.pbio.3002366
Public packaging and documentation of the B2021 response array and metadata.
- doi:10.5281/zenodo.8349726
Archived companion code for the B2021 derivative packaging; not asserted to archive the separately hash-pinned data tar.
- doi:10.1093/bioinformatics/btn634
Prior work on high-dimensional matrix correlation bias.
- doi:10.1093/bioinformatics/btz281
Prior work on trace decompositions for matrix correlations.
- doi:10.1371/journal.pcbi.1006299
Prior analysis of structured noise bias in neural representational similarity.
Cited by
13 publicationsPublic catalog entries on Sciscape.
- Response and repeat difference covariance maps had positive mean agreement for fixed sounds in six SEEG patients and 24 fMRI adults
Related auditory geometry test; our endpoint instead compares site pair maps within each person.
- For 165 sounds, mean scores for own sound maps exceeded scores for other people in six SEEG patients and two fMRI cohorts
Related sound-map agreement work found in the initial SCI catalog search.
- usesRelations to other sound classes supported matching between 32 fixed iEEG profiles and fMRI in 28 adults
We reuse its verified source manifest and credited input and fetch code; we test retrieval rather than residual map correlation.
- A diversity rule for eight sites failed a shared sound matching gain test in six SEEG patients and 24 fMRI adults
Related sound geometry test; our patient-labelled method benchmark uses no item join across modalities.
- After site scaling, a spatial filter gave lower mean gains for voice sounds than for source nonvoice sounds in six SEEG patients and two fMRI cohorts
Related residual sound geometry and measurement-noise context.
- Fixed covariance tests did not confirm vocal matching gains across six SEEG patients and two fMRI studies
- A fixed test did not confirm a 1% error limit for compact sound models in 18 iEEG patients and 16 fMRI adults
Consulted for auditory data feasibility. Its geometry endpoint is not reused.
- supportsA fixed test did not confirm a shared sound class effect in 14 iEEG patients and 16 fMRI adults
Its measured map agreement and model limits inform the acoustic interpretation audit.
- Up to four class examples reduced mean response pattern error after two amplitude controls in 20 iEEG patients and 16 fMRI adults
Its residual geometry result informed the question. Our patient-labelled data and held-out prediction endpoint differ.
- usesFor 165 clips, person t tests kept mean error gains below 1% in maps between one iEEG panel and 20 fMRI adults
Pinned source manifest, source duplicate information, and B2021 metadata interpretation. Our reciprocal estimator and window test are new.
- Calibrated extra axes reduced mean repeat error in 16-site panels from six SEEG patients and 24 fMRI adults
- usesA fixed test did not confirm shared voice label gains in 20 iEEG patients and 20 fMRI adults with linear acoustic models
We reuse its pinned source URLs, source-hash manifest and auditory data feasibility audit; we do not reuse its geometry endpoint.
- A fixed test did not confirm shared voice interaction gains in 20 iEEG patients and 16 fMRI adults
Related cross-modal auditory work reviewed before question choice. We do not reuse its selected electrical response panel.