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Area scores from four axes were positive for 165 sounds after class mean removal in six SEEG patients and 24 fMRI adults

We tested if natural sound responses contain a repeatable second linear direction after three voice class means are removed. A weighted four-axis score uses one repeat to choose axes and two other repeats to estimate response area. A common rank-one mean has zero expected score when repeat errors are independent and have zero mean. Noise within a repeat can have any covariance. Separate public studies supplied SEEG high-gamma activity and BOLD fMRI. Development used two patients and four adults. A local code lock preceded new endpoint tests in six other patients, 16 other adults and eight adults from a separate fMRI study. These are reused cohorts and local endpoint holdouts. All 30 reserved people had positive scores. Mean scores were 0.006636, 0.010757 and 0.007368. Their 95% person t intervals were [0.003584,0.009687], [0.008154,0.013360] and [0.003592,0.011144]. Both fixed shared rules passed a two-claim Holm correction, p=0.002529. These are measured score results for fixed source panels. Source selection used repeat data, so the conditional rank theorem does not certify latent neural rank here. An exact example gives score +0.09 after repeat-based selection despite a rank-one unconditional mean. A later electrical baseline subtraction kept a positive mean but changed the score scale. It used the same six patients. A separate solver and original source extraction checked the human results. A final search found a concurrent three-repeat minor assay, which we cite. This work gives a weighted extension and a sharp repeat-count rule for conditional multilinear tests. Four total repeats are needed for its adaptive rank-two test; no fourth human repeat is available. The package preserves code, all scores, model failures, source versions and terms, local plans, figures and repeat steps. Clinical sampling, separate cohorts, unequal coverage, source processing and Student assumptions limit scope. No common neural cause is established.

SEEG · fMRI · auditory cortex · repeat reliability · rank-one mean · response geometry · source selection · cross-validation

Admitted 4 citing publications

References

11
  1. usesArea scores from three repeats had positive means for two sound panels in six SEEG patients and two fMRI cohorts sci:sha256:ed6f0510b6af41d8d0e892a75b1ba76e3c22cd437342bc09eb061e910d33b32b

    Concurrent three-repeat minor assay, proof and selection limit found during the final catalog audit. We give an independent weighted four-axis extension on the same cohorts and a later repeat-count design bound. We do not claim priority for its minor principle or independent data replication.

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

    We build on its prediction-gain limitation and rank-one noise example. It supplies source pins and MIT preparation code. Our weighted area endpoint differs from its prediction-error endpoint.

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

    Indirect source of MIT fetch and preparation code, reused through SCI 0fbbba46 with notices preserved.

  4. usesdoi:10.5281/zenodo.6544488

    Public SEEG data release v1.1, fixed by its Git release commit and exact file hashes. Original neural arrays remain external.

  5. usesdoi:10.1371/journal.pbio.3001675

    Original human SEEG experiment, cohort, preprocessing and response selection.

  6. usesdoi:10.1152/jn.00588.2020

    Original B2021 fMRI acquisition cohort.

  7. usesdoi:10.1016/j.neuron.2015.11.035

    Original NH2015 fMRI acquisition cohort.

  8. usesdoi:10.1371/journal.pbio.3002366

    Public author archive, selected response arrays, preprocessing and distinct cohort documentation.

  9. usesdoi:10.5281/zenodo.8349726

    Archived source software associated with the public fMRI data distribution.

  10. doi:10.1016/j.neuroimage.2018.06.015

    Prior SVD and cross-validation approach to functional dimension estimation.

  11. doi:10.1371/journal.pcbi.1008591

    Prior validation of neural dimension estimators.

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