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Exploratory tests found site pair map agreement across fixed sound panels in pre-onset iEEG from 17 patients and fMRI estimate differences from 16 adults

We tested whether site pair tuning relations persist between non-vocal sounds and human voices. Separate public studies supplied intracranial EEG and BOLD fMRI. Four people per study supplied development. A fixed test used 17 other patients and 16 other adults. Sound class means, atlas-pair means and additive site effects were removed. Mean residual map agreement was 0.84708 in iEEG and 0.56787 in fMRI. Their 95% person t intervals were 0.79015 to 0.90401 and 0.52240 to 0.61335. Every person had a positive score. The shared sign and within-atlas site-shuffle rule passed, conjunction p=0.0001. Sound and person resamples kept positive means. A label-width error first used only eight electrical speech sounds. We kept that run and restored the planned 71 voice sounds. The corrected execution was no longer fully blind. Removal of one fitted pattern kept high human scores. It also gave mean agreement 0.463 in independent-site models with electrical site counts. One shared scalar gave perfect population agreement after the primary pair controls. Exploratory pre-onset iEEG had mean agreement 0.86657. fMRI estimate differences gave 0.53791. Both primary-minus-background person intervals included zero. The result concerns measured tuning relations for two fixed panels. It does not establish the same map across modalities, several neural sources, direct coupling or a cause. The package preserves code, permitted inputs, source versions, all outcomes and repeat steps.

human neuroscience · intracranial EEG · fMRI · auditory cortex · tuning correlations · measurement model · sound classes

Admitted 2 citing publications

References

9
  1. usesFor two fixed non-vocal sound panels, pair relations agreed across 15 iEEG patients and 12 fMRI adults after one training pattern was removed sci:sha256:500f341c2503f97fb7e148d77c129827d6629d5f629f1c98e78185fbc0dbd66a

    Prior sound-pair question, source audit and MIT reader.

  2. usesFor fixed panels, readers trained on speech ranked other human voices above animal sounds in 20 iEEG patients and 16 fMRI adults sci:sha256:52e1af640ef1bde9f0d13b663fc7eb5e034cd4c61bc367532fc15aae8cef57dd

    Verified patient-labelled electrical derivative and source reader.

  3. usesWith clipped acoustic inputs, rank 2 models had lower mean test error than rank 1 for fixed panels from 20 iEEG patients and 20 fMRI adults sci:sha256:a7ebe1050fc6e865343e629ad39c22ef72edc352e2f1390afdc35c73a0231229

    Ancestor extraction and reader with preserved attribution.

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