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A fixed acoustic field map did not pass a shared transfer test in 13 iEEG patients and 16 fMRI adults

We tested whether an acoustic response contrast between two auditory field groups transfers between separate human studies. Intracranial EEG supplied signed mean local field potentials. fMRI supplied BOLD estimates. The corpora had different sounds and class labels. Five patients and four MRI adults supplied development. A local code lock preceded tests in 13 other patients and 16 other adults. A source acoustic map predicted within-class pair-distance contrasts after additive sound effects were removed. Mean person scores were 0.0844 and 0.2665. Their 95% Student intervals were [-0.0093,0.1781] and [0.2156,0.3174]. Positive counts were 8/13 and 16/16. The fixed shared mean-and-majority rule failed, p=0.29052734. MRI repeat products retained the positive association. Both ranges that resampled sounds and people crossed zero. Development used the same target test-sound identities, so confirmation holds out people and conditions on this panel. All negative and discordant results remain. A fixed control gave mean score 0.8275 from identical true field signals with unequal independent noise. This limits interpretation; it is not human evidence or a fitted human cause. Independent calculations checked all nine source maps and 29 primary people. Fresh source ranges reproduced all electrical inputs exactly. Clinical sampling, separate cohorts, unequal spatial and temporal filters, source selection and unknown electrical extractor version limit scope. The package gives code, source versions and terms, permitted inputs, all results, figures, plans and repeat steps. No positive neural finding across both modalities is confirmed.

human neuroscience · intracranial EEG · fMRI · auditory cortex · acoustic tuning · anatomical transfer · measurement noise · negative result

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References

13
  1. usesFixed acoustic metrics did not pass a shared transfer test in 20 iEEG patients and 16 fMRI adults sci:sha256:5b3c14f7e26e96a03be6fd767f0bb3e600b235803a998b6dc7cb9a9df4d28128

    We use its licensed electrical derivative, pinned source readers and ridge design-noise calculation. We test a new anatomical contrast.

  2. Input clipping left an uncertain mean gain for smooth acoustic models in 20 iEEG patients and a positive gain in 20 fMRI adults sci:sha256:8ce8db4b5312116aba279dc9c273212d0b6bb882dfd420359de40e6fb392c65a

    Its input sensitivity result helped motivate a controlled anatomical transfer assay.

  3. usesA smooth acoustic kernel did not pass a shared gain test in 14 iEEG patients and 8 fMRI adults sci:sha256:a74e86c25b5837e13b02d6d737255a5955fcd70f1cdccadf9807aedf5953f14a

    We inspect public patient IDs and field counts for a metadata-only synthetic-task feasibility check. No new transfer scores from that task are used.

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