For fixed sounds, kernels from four source people lowered mean error in iEEG and B2021 fMRI; NH2015 gain was uncertain
We tested whether sound response patterns from four source people help predict other people. Separate public studies supplied human iEEG local field potential means and BOLD fMRI estimates. Each source kernel used all panel sounds after removal of class means. A baseline used measured acoustics and class labels. Four people per study supplied development. A local code lock preceded tests in 20 other patients and 16 other B2021 adults. Mean error gains were 1.298 [0.236, 2.360] and 6.733 [5.667, 7.799] points of grand-mean prediction error. Brackets give 95% person Student limits. Mean advantages over class-preserving shuffled source identities were 3.183 and 11.434 points. Both shared mean tests passed Holm correction, p=0.009625118 and 2.354639e-05. Six patients had negative gains. The electrical gain sign test failed at .05. A joint person/sound resampling range also included zero for electrical gain. Spatial mean removal left positive pointwise mean limits in both modalities. The same B2021 source kernel gave uncertain gain 1.063 [-0.747, 2.874] in eight adults from a separate MRI study. Its cross-estimate gain was negative. An exact acoustic-only example gave both endpoint benefits from one omitted acoustic variable. The contribution is a small source-kernel benchmark and evidence for mean response transfer on two fixed panels, with a separate-study limit. All negative outcomes remain. Source people and sounds are fixed; source test sounds were already measured. Clinical coverage, source selection, distinct cohorts, features and measurement filters limit scope. No common neural cause, semantic code, or never-measured-sound prediction is established. Code, permitted inputs, source pins and terms, figures, all outcomes, and repeat steps are supplied.
human neuroscience · intracranial EEG · fMRI · auditory cortex · source kernel · response transfer · fixed sound panels · independent cohort · prediction
References
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Immediate licensed electrical data donor, MRI preparation code, loader and source audit. Its class calibration result informed this distinct source-kernel test.
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Prior fixed-panel sound geometry work motivates testing source sound identity; its missing electrical person labels limit a new-patient claim.
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Version 1.1 public human iEEG source, reused through a licensed compact derivative.
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Original Hect and colleagues human iEEG study.
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Original B2021 fMRI source.
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Original independent NH2015 fMRI source.
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Public author MRI archive, source processing and report that B2021 and NH2015 participants are distinct.
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Upstream licensed electrical derivative in the immediate data donor.
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Upstream source preparation in the electrical derivative chain.
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Original compact electrical derivative in the preserved source chain.
Cited by
1 publicationPublic catalog entries on Sciscape.
- Fixed maps of 128 sounds gave positive mean agreement in six SEEG patients and two fMRI groups
Related source-kernel prediction work and its independent MRI limit informed scope.