A shared cost of removing one sound mode was not confirmed in six SEEG patients and 24 fMRI adults

We tested whether removing one fitted sound mode reduces transfer from speech and song to nonspeech human voices. Separate public studies supplied high-gamma SEEG and BOLD fMRI. Training and test clip identities were disjoint within each fitted model. Development used two patients and four fMRI adults. We locked the code before scoring six other patients, 16 B2021 adults and eight NH2015 adults. Mean AUC changes were -0.01352, +0.01449 and +0.00015. Their 95% person Student intervals were [-0.04413,+0.01708], [+0.00099,+0.02799] and [-0.01582,+0.01613]. The fixed shared cost test failed, p=0.98146. Ranges from joint person and test-sound resampling included zero in every study. All negative people and controls remain. An exact construction kept all training and other test patterns fixed. With unrestricted target patterns, it gave AUC changes of -1 and +1. Both retained and removed parts of the reader must be nonzero. Thus, a training variance fraction alone cannot bound loss of this readout. This algebra limit is not a model of human physiology. We provide checked code, source pins and terms, all scores, figures and repeat steps. Small fixed sound panels, source selection, clinical sampling, shared schedules and unequal measurement filters limit scope. No positive cross-modal cost or common neural cause was confirmed.

human neuroscience · SEEG · fMRI · auditory cortex · voice · principal component analysis · cross-class transfer · negative result