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Functional connectivity within the voice perception network and its behavioural relevance

Abstract : Recognizing who is speaking is a cognitive ability characterized by considerable individual differences, which could relate to the inter-individual variability observed in voice-elicited BOLD activity. Since voice perception is sustained by a complex brain network involving temporal voice areas (TVAs) and, even if less consistently, extra-temporal regions such as frontal cortices, functional connectivity (FC) during an fMRI voice localizer (passive listening of voices vs non-voices) has been computed within twelve temporal and frontal voice-sensitive regions ("voice patches") individually defined for each subject (N ¼ 90) to account for inter-individual variability. Results revealed that voice patches were positively co-activated during voice listening and that they were characterized by different FC pattern depending on the location (anterior/posterior) and the hemisphere. Importantly, FC between right frontal and temporal voice patches was behaviorally relevant: FC significantly increased with voice recognition abilities as measured in a voice recognition test performed outside the scanner. Hence, this study highlights the importance of frontal regions in voice perception and it supports the idea that looking at FC between stimulus-specific and higher-order frontal regions can help understanding individual differences in processing social stimuli such as voices.
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Submitted on : Monday, October 28, 2019 - 9:20:48 AM
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Virginia Aglieri, Thierry Chaminade, Sylvain Takerkart, Pascal Belin. Functional connectivity within the voice perception network and its behavioural relevance. NeuroImage, Elsevier, 2018, 183, pp.356-365. ⟨10.1016/j.neuroimage.2018.08.011⟩. ⟨hal-02335026⟩



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