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Voice group axes had more covariance per axis in human SEEG and fMRI; the fixed majority test failed

We tested how three voice groups divide repeat covariance for 165 natural sounds. Separate public studies supplied SEEG high-gamma amplitude and BOLD fMRI. Two patients and four MRI adults supplied development. A local code lock preceded tests in six other patients and 16 other adults. Within-group mean covariance fractions were 64.13% and 59.50%. The SEEG majority margin was 0.098904, with 95% person Student limits [-0.034409,0.232217]. The fixed full shared rule failed, p=0.114814. One negative SEEG patient remains. A smaller planned component compared covariance per axis. Each voice group axis carried more covariance than an average within-group axis. Ratios of cohort mean terms were 45.30 and 55.13. A later Holm audit included all six locked primary components. Its shared adjusted p for this smaller result was 0.046875. This reduced-claim audit was added after the full test failed. It has no new independent electrical acquisition confirmation. Eight records from another MRI study gave a 66.76% within-group fraction. All controls, sound resampling and negative results remain. A repeat-shared artifact can also give the pattern with class-constant neural responses. Clinical sampling, source screens, a common retained electrical order, different cohorts, tasks, filters and site weights limit scope. This is a benchmark for processed repeat covariance, not a common neural cause or an information fraction. The package gives code, source versions and terms, plans, all results, figures and repeat steps. Original arrays remain external.

human neuroscience · SEEG · fMRI · voice groups · repeat covariance · within-group variation · orthogonal projection · negative result

Admitted 3 citing publications

References

12
  1. usesFixed donor weights raised mean error estimates at 24 selected sites in six SEEG patients and 16 fMRI adults sci:sha256:b28cf6c82ec532ed29708c9ae449d6b646a506d44665c07bad40e89a1fa6e109

    We reuse its verified source pins and MIT fetcher and reader code.

  2. usesExploratory vocal subgroup terms were positive for fixed sounds in six SEEG patients and 24 fMRI adults; shared tests failed sci:sha256:11184ba8b069c0339baa722eb1a53ae3c5b74e9185cd7ed685c0c37b9d26b1ed

    We extend its question about within-class repeat covariance to a total-mass and per-axis benchmark.

  3. usesTen category contrasts supplied 98% of covariance between photos in later MEG and IT fMRI maps, under assumed image order sci:sha256:a0ffce6d01af4c69083164d4afdf3bb02b4ce15c910db189fc83766f5ccd1352

    Its category-versus-residual covariance audit motivates our auditory decomposition.

  4. usesExploratory A1 and belt models improved prediction in 12 of 13 iEEG patients and all 16 fMRI adults on fixed sounds sci:sha256:e23c7d60934cfd68c27b80a6551ac7933a03bf2a24d4ed536175f7463d9a0613

    Its acoustic feature result helped define a candidate rejected before outcomes because exact electrical clip identities were missing.

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