Electrocorticography reveals the dynamics of famous voice responses in human fusiform gyrus

Rhone, Ariane E.; Rupp, Kyle; Hect, Jasmine L; Harford, Emily; Tranel, Daniel; Howard, Matthew A.; Abel, Taylor J.

doi:10.1152/jn.00459.2022

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…This time window thus delineates when we can expect to find evidence for representations of different person characteristics in the RSA. This time course of voice decoding is similar to time courses that have been reported for general sound decoding ( 32 , 46 ), the time courses reported for the decoding of visual stimuli ( 33 , 47 ), as well as the time courses of neural responses to famous faces established via electrocorticographical recordings ( 48 ).…”

Section: Resultssupporting

confidence: 84%

The time course of person perception from voices in the brain

Lavan,

Rinke,

Scharinger

2024

Proc. Natl. Acad. Sci. U.S.A.

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When listeners hear a voice, they rapidly form a complex first impression of who the person behind that voice might be. We characterize how these multivariate first impressions from voices emerge over time across different levels of abstraction using electroencephalography and representational similarity analysis. We find that for eight perceived physical (gender, age, and health), trait (attractiveness, dominance, and trustworthiness), and social characteristics (educatedness and professionalism), representations emerge early (~80 ms after stimulus onset), with voice acoustics contributing to those representations between ~100 ms and 400 ms. While impressions of person characteristics are highly correlated, we can find evidence for highly abstracted, independent representations of individual person characteristics. These abstracted representationse merge gradually over time. That is, representations of physical characteristics (age, gender) arise early (from ~120 ms), while representations of some trait and social characteristics emerge later (~360 ms onward). The findings align with recent theoretical models and shed light on the computations underpinning person perception from voices.

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Section: Resultssupporting

confidence: 84%

The time course of person perception from voices in the brain

Lavan,

Rinke,

Scharinger

2024

Proc. Natl. Acad. Sci. U.S.A.

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“…As a result, the time window also delineates when we can expect to find evidence for representations of different person characteristics in the RSA analysis. These temporal dynamics of voice decoding are similar to temporal dynamics that have been reported for general sound decoding (Lowe et al, 2018, Lowe et al, 2021, the temporal dynamics reported for the decoding of visual stimuli (Cichy et al, 2018, Dobs et al, 2019, as well as the temporal dynamics of neural responses to famous faces established via electrocorticographical recordings (Rhone et al, 2023).…”

Section: Different Voice Recordings Can Be Distinguished In the Brain...supporting

confidence: 81%

The time course of person perception from voices in the brain

Lavan,

Rinke,

Scharinger

2023

Preprint

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When listeners hear a voice, they hear a person and thus rapidly form a complex impression of the person behind that voice. We characterise how multivariate impressions from voices emerge over time across different levels of abstraction using electroencephalography (EEG) and representational similarity analysis (RSA). We find that for 8 perceived physical (gender, age, health), trait (attractiveness, dominance, trustworthiness), and social characteristics (educatedness, professionalism), representations emerge early (~80ms after stimulus onset), with voice acoustics contributing to those representations between ~100ms-400ms. While impressions of person characteristics are highly correlated, we can find evidence for highly abstracted, independent representations of individual person characteristics. For these abstracted representations, a staggered time course emerges, where representations of physical characteristics (age, gender) arise early (~120ms), while representations of some trait and social characteristics emerge later (~260ms onwards). The findings align with recent theoretical models and shed light on mechanisms underpinning person perception from voices.

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“…While the source localization of the present voice-induced N250 in fusiform gyrus in young healthy adults potentially represents a novel finding for scalp-recorded EEG, it may be noted that our findings can be related to a very recent study using intracranial EEG recordings from epilepsy patients, in which the authors directly demonstrated an electrophysiological response in fusiform cortex in response to famous voices, with onset latencies close to 300 ms [ 79 ]. Although more research is necessary to delineate in more detail the contribution of fusiform cortex to voice learning, the present findings support the notion of an early perceptual interaction in areas implicated in voice and face processing [ 2 , 7 ] (see also [ 80 ]).…”

Section: Discussionmentioning

confidence: 52%

Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces

2023

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Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for audiovisual integration in the recognition of familiar people, we studied the behavioral and electrophysiological correlates of voice learning associated with distinctive or non-distinctive faces. We repeated twelve unfamiliar voices uttering short sentences, together with either distinctive or non-distinctive faces (depicted before and during voice presentation) in six learning-test cycles. During learning, distinctive faces increased early visually-evoked (N170, P200, N250) potentials relative to non-distinctive faces, and face distinctiveness modulated voice-elicited slow EEG activity at the occipito–temporal and fronto-central electrodes. At the test, unimodally-presented voices previously learned with distinctive faces were classified more quickly than were voices learned with non-distinctive faces, and also more quickly than novel voices. Moreover, voices previously learned with faces elicited an N250-like component that was similar in topography to that typically observed for facial stimuli. The preliminary source localization of this voice-induced N250 was compatible with a source in the fusiform gyrus. Taken together, our findings provide support for a theory of early interaction between voice and face processing areas during both learning and voice recognition.

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Electrocorticography reveals the dynamics of famous voice responses in human fusiform gyrus

Cited by 3 publications

References 28 publications

The time course of person perception from voices in the brain

The time course of person perception from voices in the brain

The time course of person perception from voices in the brain

Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces

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