Visual mechanisms for voice-identity recognition flexibly adjust to auditory noise level.
FFA
audio-visual
motion
multisensory
pSTS
predictive coding
voice-identity
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 08 2021
15 08 2021
Historique:
revised:
26
04
2021
received:
11
02
2021
accepted:
02
05
2021
pubmed:
28
5
2021
medline:
17
3
2022
entrez:
27
5
2021
Statut:
ppublish
Résumé
Recognising the identity of voices is a key ingredient of communication. Visual mechanisms support this ability: recognition is better for voices previously learned with their corresponding face (compared to a control condition). This so-called 'face-benefit' is supported by the fusiform face area (FFA), a region sensitive to facial form and identity. Behavioural findings indicate that the face-benefit increases in noisy listening conditions. The neural mechanisms for this increase are unknown. Here, using functional magnetic resonance imaging, we examined responses in face-sensitive regions while participants recognised the identity of auditory-only speakers (previously learned by face) in high (SNR -4 dB) and low (SNR +4 dB) levels of auditory noise. We observed a face-benefit in both noise levels, for most participants (16 of 21). In high-noise, the recognition of face-learned speakers engaged the right posterior superior temporal sulcus motion-sensitive face area (pSTS-mFA), a region implicated in the processing of dynamic facial cues. The face-benefit in high-noise also correlated positively with increased functional connectivity between this region and voice-sensitive regions in the temporal lobe in the group of 16 participants with a behavioural face-benefit. In low-noise, the face-benefit was robustly associated with increased responses in the FFA and to a lesser extent the right pSTS-mFA. The findings highlight the remarkably adaptive nature of the visual network supporting voice-identity recognition in auditory-only listening conditions.
Identifiants
pubmed: 34043249
doi: 10.1002/hbm.25532
pmc: PMC8288083
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3963-3982Subventions
Organisme : European Research Council
ID : SENSOCOM 647051
Pays : International
Informations de copyright
© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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