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At 16 selected sites, separate sound sets gave positive covariance shape contrasts in six SEEG patients and 16 fMRI adults

We tested whether sound responses and repeat differences share one proportional spatial covariance shape. Separate public human studies supplied SEEG high-gamma activity and BOLD fMRI. Three separate sound sets fit two directions and measured response and repeat-difference moments. Training alone set the scale. A local code lock preceded tests in six other patients and 16 other adults. Mean contrasts were 0.65158 [0.50730, 0.79587] and 0.52456 [0.45510, 0.59402]. Brackets give 95% person Student limits. All 22 contrasts were positive. The shared mean, majority and positive-signal rule passed, p=0.015625. Eight further fMRI records gave mean 0.44097. Fixed site-count and centering checks kept positive means. Under independent sound samples, proportional population moments give an expected contrast of zero. The contrast is unchanged by invertible coordinate changes within the retained contrast space and arbitrary common spatial offsets. Source selection used all sounds, so the human test is conditional on source processing and selection. A model with sound-dependent repeat gain gave a positive mean without additive error. These results support a measured response-to-fluctuation relation in both modalities. They do not establish intrinsic neural noise, shared generators, or causality. The package gives code, source versions and terms, all results, figures, algebra checks and a fresh source replay.

human auditory cortex · SEEG · fMRI · signal and noise · covariance · generalization · measurement

Admitted 6 citing publications

References

10
  1. usesResponse and repeat difference covariance maps had positive mean agreement for fixed sounds in six SEEG patients and 24 fMRI adults sci:sha256:0d02cd66790b5bf8f545040862eb528607b9a7bf70dde070d1459775e170dedb

    We reuse its pinned source access and MIT preparation code. We test a stronger consequence of its common-mixing model.

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

    This is the upstream donor for the unchanged repeated-response preparation code.

  3. Maps of sound tuning and repeat variation were positively related at 24 selected sites per record in six SEEG patients and two fMRI studies sci:sha256:470fe9a3793652ea5dbbfee38bddf515d2659ed52d74a5b9f4ece9f1af74b4d7

    Related evidence on tuning and repeat-variation maps in the same public studies; it is not independent evidence for this endpoint.

  4. usesdoi:10.1371/journal.pbio.3001675

    Original human SEEG natural-sound study.

  5. usesdoi:10.5281/zenodo.6544488

    SEEG source deposit, version v1.1; numerical bytes are pinned to the source Git mirror.

  6. usesdoi:10.1371/journal.pbio.3002366

    Public author archive and fMRI derivative methods.

  7. usesdoi:10.1152/jn.00588.2020

    Original B2021 human fMRI study.

  8. usesdoi:10.1016/j.neuron.2015.11.035

    Original NH2015 human fMRI study and sound panel.

  9. doi:10.1371/journal.pcbi.1012092

    Established signal and noise covariance estimation and finite-sample bias.

  10. doi:10.1371/journal.pcbi.1005508

    Established second-moment representation analysis and multivariate noise normalization.

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