A diversity rule for eight sites failed a shared sound matching gain test in six SEEG patients and 24 fMRI adults
We tested whether eight sites with complementary sound response profiles give better identity matching than eight sites with the largest individual profiles. Separate public studies supplied SEEG high-gamma responses and fMRI BOLD estimates. Calibration used 56 sounds. Matching used 109 other sounds within three broad groups. Two patients and four adults supplied development. A local code lock preceded tests in six other patients, 16 B2021 adults and eight NH2015 adults. Mean AUC gains were 0.002040, 0.018398 and 0.026257. Their 95% person Student intervals were [-0.002651,0.006731], [0.009681,0.027116] and [0.011867,0.040648]. The shared positive-gain test failed, Holm p=0.375. A planned shared test for means within plus or minus 0.02 also failed, Holm p=0.830972. Joint person and test-sound ranges kept this pattern. A later check used 24 candidates in every person. Its MRI mean intervals crossed zero; its SEEG mean was negative. These checks do not replace the primary result. An unfitted one-source model gave a 0.1020 mean matching gain from correlated measurement error. Thus selection gains need not imply several neural signal sources. Independent calculations and exact reconstruction of 10,449,945 source-derived cache values checked the work. The contribution is a repeated-sound benchmark, a scoped negative cross-modal test and an interpretation limit. Separate cohorts, sparse clinical sampling, unequal sensing volumes, earlier full-panel selection and different filters limit scope. Code, source pins and terms, plans, all results, figures and repeat steps are supplied.
SEEG · fMRI · auditory cortex · site selection · sound matching · cross-modal test · negative result
References
11- usesResponse and repeat difference covariance maps had positive mean agreement for fixed sounds in six SEEG patients and 24 fMRI adults sci:sha256:0d02cd66790b5bf8f545040862eb528607b9a7bf70dde070d1459775e170dedb
Verified source preparation, source manifest and provenance.
- usesFor 165 fixed sounds, four-component models reduced repeat error in six SEEG patients and 24 fMRI adults sci:sha256:1ffb0217c831625cbe8fc949585c14c1f283f7e9f1b2113e69122af88fa9a59b
Original MIT preparation reader and source manifest, obtained unchanged through SCI 4cd19f9d.
- Residual sound maps agreed between a fixed iEEG panel and 20 fMRI adults under a rotation reference sci:sha256:c833e2811606e931c209b9a349ce18fad053c6a5d3d1e78c89d2e3e2cb2a83e9
Related sound geometry test; our patient-labelled method benchmark uses no item join across modalities.
- One bit per site gave sound match scores above chance in selected panels from six SEEG patients and 24 fMRI adults sci:sha256:4ee8594db22f3da99b83d6ec4e88c4f2e77b400cd193c2ba55b5f7c81946266c
Related quantization benchmark in reused cohorts, found after primary scoring. No code or data reused.
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- doi:10.5281/zenodo.8349726
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