The human voice areas: Spatial organisation and inter-individual variability in temporal and extra-temporal cortices

Pernet, C.R. and McAleer, P. and Latinus, M. and Gorgolewski, K.J. and Charest, I. and Bestelmeyer, P.E.G. and Watson, R.H. and Fleming, D. and Crabbe, F. and Valdes-Sosa, M. and Belin, P. (2015) The human voice areas: Spatial organisation and inter-individual variability in temporal and extra-temporal cortices. NeuroImage, 119 (1). 164–174. DOI: 10.1016/j.neuroimage.2015.06.050

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FMRI studies increasingly examine functions and properties of non-primary areas of human auditory cortex. However there is currently no standardized localization procedure to reliably identify specific areas across individuals such as the standard 'localizers' available in the visual domain. Here we present an fMRI 'voice localizer' scan allowing rapid and reliable localization of the voice-sensitive 'temporal voice areas' (TVA) of human auditory cortex. We describe results obtained using this standardized localizer scan in a large cohort of normal adult subjects. Most participants (94%) showed bilateral patches of significantly greater response to vocal than non-vocal sounds along the superior temporal sulcus/gyrus (STS/STG). Individual activation patterns, although reproducible, showed high inter-individual variability in precise anatomical location. Cluster analysis of individual peaks from the large cohort highlighted three bilateral clusters of voice-sensitivity, or "voice patches" along posterior (TVAp), mid (TVAm) and anterior (TVAa) STS/STG, respectively. A series of extra-temporal areas including bilateral inferior prefrontal cortex and amygdalae showed small, but reliable voicesensitivity as part of a large-scale cerebral voice network. Stimuli for the voice localizer scan and probabilistic maps in MNI space are available for download.

Item Type: Article
Uncontrolled Keywords: Neuroimaging Neurosciences
Subjects: Research Publications
Departments: College of Health and Behavioural Sciences > School of Psychology
Date Deposited: 19 Jun 2015 02:44
Last Modified: 12 Nov 2015 01:12
ISSN: 1053-8119
URI: http://e.bangor.ac.uk/id/eprint/4659
Identification Number: DOI: 10.1016/j.neuroimage.2015.06.050
Publisher: Elsevier
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