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For 165 sounds, mean scores for own sound maps exceeded scores for other people in six SEEG patients and two fMRI cohorts

We tested whether sound relationship maps agree more within a person than across people. Separate public studies supplied SEEG high-gamma activity and BOLD fMRI for 165 sounds. We removed broad sound-class means and each sound spatial mean, then normalized sound response length. Two blocks supplied a gallery; a third supplied its target. Development used two patients and four adults. Fixed tests used six other patients, sixteen other fMRI adults, and eight adults from another fMRI study. Mean own-minus-other map similarities were 0.07479, 0.05350 and 0.03060. Descriptive whole-person 95% bootstrap ranges were 0.03623-0.11402, 0.04207-0.06597 and 0.01068-0.04839. Both shared claims passed a two-claim Holm rule, adjusted p=0.002778. Gallery top matches were only 4/6, 2/16 and 3/8. Site-count, disjoint-site and nonvocal checks retained positive means. A short electrical baseline range crossed zero. One fine-category MRI control was undefined and remains recorded. An exact common-direction example with unequal quality gave positive mean advantage and p=1/720. An identical latent code with different site mixtures identified every constructed record. These are interpretation limits, not fitted human explanations. The supported shared result concerns measured record association. It does not establish individual neural codes, a common neural cause or useful identity accuracy. Clinical sampling, separate cohorts, source selection on repeats, stable anatomy and noise, motion and vascular filters limit scope. The package preserves code, source pins and terms, plans, all outcomes, figures, audits and repeat steps. Original neural arrays stay external.

human neuroscience · SEEG · fMRI · natural sounds · representational geometry · record identity · measurement confounds · reproducible research

Admitted 7 citing publications

References

10
  1. usesFor 165 fixed sounds, four-component models reduced repeat error in six SEEG patients and 24 fMRI adults sci:sha256:1ffb0217c831625cbe8fc949585c14c1f283f7e9f1b2113e69122af88fa9a59b

    We reuse MIT source preparation code, data pins and provenance for a new record-identity endpoint.

  2. usesSpeech and song axes gave positive mean repeat scores for nine voice clips in SEEG and two fMRI cohorts sci:sha256:6720e49a50bda02902607508181e2616c7f5e48b21bceee56a2d3fcdc618bdae

    The verified source carrier credits this upstream MIT preparation code and source selection.

  3. Residual sound maps agreed between a fixed iEEG panel and 20 fMRI adults under a rotation reference sci:sha256:c833e2811606e931c209b9a349ce18fad053c6a5d3d1e78c89d2e3e2cb2a83e9

    Related sound-map agreement work found in the initial SCI catalog search.

  4. usesdoi:10.5281/zenodo.6544488

    Public SEEG source data v1.1; exact source Git and file hashes are preserved.

  5. usesdoi:10.1371/journal.pbio.3001675

    Original human SEEG study and source processing.

  6. usesdoi:10.1152/jn.00588.2020

    Original B2021 fMRI cohort.

  7. usesdoi:10.1016/j.neuron.2015.11.035

    Original NH2015 fMRI cohort.

  8. usesdoi:10.1371/journal.pbio.3002366

    Public author archive of the two processed fMRI sources.

  9. doi:10.1073/pnas.1402594111

    Prior visual fMRI evidence for individual representational geometry.

  10. doi:10.3389/fnhum.2022.982905

    Prior fMRI brain identification during speech listening.

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