FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance.

ABSTRACT: Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI data from a relatively large group of participants, and (2) at investigating the relationship across participants between fMRI-based classification and the group's variable behavioural performance at the speaker recognition task. A cohort of subjects (N = 40, 28 females) selected to present a wide distribution of voice recognition abilities underwent an fMRI speaker identification task during which they were asked to recognize three previously learned speakers with finge

SUBMITTER: Aglieri V 

PROVIDER: S-EPMC7803954 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature