With linear acoustic controls, late sound maps from one ECoG panel agreed more with BOLD in 20 adults; an eight-adult check was uncertain
We tested whether late sound maps have more BOLD agreement than early maps after full linear acoustic control. A public ECoG release supplied one fixed panel of 32 distinct selected profiles. A separate fMRI study supplied 20 adults. The same 165 clips had verified neural sound IDs and names. Electrical windows were 0.1-0.5 s and 1.3-1.7 s. We removed 12 category directions, 69 acoustic directions and the span from independent sound error variances. A local plan and code lock preceded new scores. Mean late cosine was 0.049984; mean late minus early was 0.035756. Their 95% person intervals were [0.035231,0.064736] and [0.018342,0.053169]. All 20 late scores and 17 differences were positive. The fixed mean-and-majority rule passed, p=0.001288414. Category control alone favored early maps in all 20 people. The historical eight-person matched-window check was uncertain. One MRI repeat and two category-omission majority checks also failed. All remain. A constructed model gave a late advantage with identical true maps and unequal measurement noise. An exact corrected-kernel sensitivity allowed a mean-order tie at 4.5850% relative error. This is not a measured noise bound. Missing electrical patient labels and repeats prevent new-patient uncertainty or latent timing claims. Separate cohorts, source selection, fixed sounds, task and measurement filters limit scope. The package gives code, source pins and rights, all results, figures, independent arithmetic and source audits, and repeat steps. Original source arrays stay external. No common neural cause or broad population transfer is established.
human neuroscience · ECoG · fMRI · natural sounds · representational similarity · acoustic control · measurement noise · independent study · negative results
References
12- usesA test that removed 69 acoustic features did not confirm sound agreement in one iEEG panel and eight fMRI adults sci:sha256:2d4c61b53d6c8d4ee01056958f3b4bd9ebd6c48f301dcbc1b62e826006a9443b
Full linear feature and sound-error span method, MIT source reader, fixed source pins, and published timing hypothesis.
- Sound relationships after category removal agreed between a fixed iEEG panel and eight fMRI adults sci:sha256:952a3d810a1e0d48021b88ea47f485459d86862c83bacd97cf3f4568e9c5526b
Prior residual sound agreement and source identity audit.
- usesAt selected sites, four nonvocal axes captured extra speech-and-song repeat energy in six SEEG patients and 24 fMRI adults sci:sha256:660b18f6d8c528c13cb89491f53a58e0cc5ade368023e431c8a672676548c6a5
B2021 archive provenance and ten-parcel inclusion workflow.
- doi:10.1016/j.cub.2022.01.069
- doi:10.1016/j.neuron.2015.11.035
- doi:10.1152/jn.00588.2020
- doi:10.1371/journal.pbio.3002366
- doi:10.1016/j.cub.2018.04.033
- doi:10.48550/arXiv.2007.02789
- doi:10.48550/arXiv.1608.02027
- doi:10.1080/02643294.2022.2085085
- doi:10.5281/zenodo.8349726
Cited by
3 publicationsPublic catalog entries on Sciscape.
- Separate references from two SEEG patients gave opposite temporal score signs in all 16 test fMRI adults for three sound groups
Its pooled equal-window result motivates a different three-group test with patient units and repeated estimates.
- A Gaussian correction removed bias in one model; voice tests did not confirm a shared third response direction in SEEG and fMRI
Related sound-map work informed an item-transfer plan that was abandoned before scores when the SEEG item key could not be verified.
- Four sound classes gave fMRI prediction gains but failed a shared test in 20 iEEG patients and 16 fMRI adults
Related acoustic-control comparison motivated explicit patient-level inference; our signal and endpoint differ.