Learning-Induced Changes in the Cerebral Processing of Voice Identity (original) (raw)

Latinus, M., Crabbe, F. and Belin, P.(2011) Learning-Induced Changes in the Cerebral Processing of Voice Identity.Cerebral Cortex, 21(12), pp. 2820-2828. (doi: 10.1093/cercor/bhr077) (PMID:21531779)

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Publisher's URL: http://dx.doi.org/10.1093/cercor/bhr077

Abstract

Temporal voice areas showing a larger activity for vocal than non-vocal sounds have been identified along the superior temporal sulcus (STS); more voice-sensitive areas have been described in frontal and parietal lobes. Yet, the role of voice-sensitive regions in representing voice identity remains unclear. Using a functional magnetic resonance adaptation design, we aimed at disentangling acoustic- from identity-based representations of voices. Sixteen participants were scanned while listening to pairs of voices drawn from morphed continua between 2 initially unfamiliar voices, before and after a voice learning phase. In a given pair, the first and second stimuli could be identical or acoustically different and, at the second session, perceptually similar or different. At both sessions, right mid-STS/superior temporal gyrus (STG) and superior temporal pole (sTP) showed sensitivity to acoustical changes. Critically, voice learning induced changes in the acoustical processing of voices in inferior frontal cortices (IFCs). At the second session only, right IFC and left cingulate gyrus showed sensitivity to changes in perceived identity. The processing of voice identity appears to be subserved by a large network of brain areas ranging from the sTP, involved in an acoustic-based representation of unfamiliar voices, to areas along the convexity of the IFC for identity-related processing of familiar voices

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Funder and Project Information

1

The perception of voice gender and identity - a combined behavioural, electrophysiological and neuroimaging approach

Pascal Belin

BB/E003958/1

Cognitive Neuroimaging & Neuroengineering Technologies

1

Social interaction - a cognitive-neurosciences approach

Simon Garrod

ES/E020933/1

Cognitive Neuroimaging & Neuroengineering Technologies

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