Removing the half of selected sites with the highest fitting reliability decreased sound assignment accuracy more than random removal in six SEEG patients and two fMRI panels

We tested whether repeat reliability on one sound set marks sites useful for reading other sounds. Separate public studies supplied human SEEG high-gamma responses and BOLD fMRI estimates. Two sound folds kept fitting sounds out of each test. We removed half the sites with the greatest fitting reliability. We compared the retained sites with 32 random sets at the same site count. Each response lost its spatial mean, size and global sign. Development used two patients and four MRI adults. Before reserved tests, we added labelled accuracy loss to two original site-label benefit tests. A local code lock preceded tests in six patients, 16 B2021 adult records and eight NH2015 adult records. Added accuracy losses were SEEG +19.81 points; B2021 +12.25 points; NH2015 +8.22 points. The accuracy-loss shared test passed, with Holm p=0.046875 over three claims. H1 and H2 did not pass their shared tests. All records, negative outcomes, code, figures and uncertainty draws remain. Original neural arrays stay external. SEEG pre-onset loss was +4.08 points; baseline subtraction left +12.66 points. Thus the result does not isolate sound-evoked coding. Source screens used the full sound panel before release. Separate cohorts, possible overlap between MRI panels, clinical sampling, shared schedules and signal mixing limit scope. The tests concern fixed processed-signal readers. They do not establish neural necessity, source count or causality.

human neuroscience · SEEG · fMRI · auditory cortex · repeat reliability · site removal · sound patterns