Multimodal face and voice recognition disorders in a case with unilateral right anterior temporal lobe atrophy.

Cosseddu, Maura; Gazzina, Stefano; Borroni, Barbara; Padovani, Alessandro; Gainotti, Guido

doi:10.1037/neu0000480

Cited by 7 publications

(5 citation statements)

References 72 publications

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“…You might be talking to your friend about their holidays one minute and then their new job the next, but of course their identity does not change across the shift in context. This point is clearly seen in case studies of neuropsychological deficits involving structural damage to anterior temporal lobes, which point strongly to the existence of modality-independent forms of loss of memory for people in which severe deficits affect the retrieval of identity-specific information about a familiar individual from their face, voice, and even their name Young, Frühholz and Schweinberger (cont'd) 11 [26,27,48,49,73,74]. The same underlying functional architecture is evident in widely-used functional models [11,[75][76][77][78].…”

Section: Functional Demands Of Face and Voice Recognitionmentioning

confidence: 99%

“…Other regions show responses to both faces and voices (yellow highlighting), thus forming candidates for integrating vocal and facial signals involving speech, affect or identity [3,8,[22][23][24][25]. Regions likely to also have relatively post-perceptual responses are highlighted in blue [19,23,[26][27].…”

Section: Box 2: Brain Regions Involved In Face and Voice Perceptionmentioning

confidence: 99%

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Face and Voice Perception: Understanding Commonalities and Differences

Young

Frühholz

Schweinberger

2020

Trends in Cognitive Sciences

122

140

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Faces and voices are of high importance in interpersonal communication, and there are notable parallels between face and voice perception. However, these parallels do not sit entirely comfortably with the full range of available evidence. This review evaluates parallels between the functional and neural organisation of face and voice perception, whilst locating these in the context of ways in which faces and voices also differ. It takes the discussion to the next level by asking why these commonalities and differences exist. A novel synthesis is offered, grounded in the interaction between intrinsic characteristics of faces and voices and the demands of everyday life, showing how the pattern of findings reflects a system that can respond optimally to different everyday demands. Highlights• Similarities in functional organisation have led to the proposal of parallel, largely independent processing streams for voices and faces.Linked to this conception is the idea that the voice can be considered to be a kind of 'auditory face'.• However, neuroimaging studies show a strong contribution of multimodal regions that respond both to voices and to faces. Closer examination of neuropsychological and behavioural studies supports this form of organisation.• The contributions of differences between how relatively invariant information (such as a person's identity) and more rapidly changing information (such as their emotional state) must be represented need to be carefully considered.• Understanding the everyday demands of different tasks involving voice and face perception offers a resolution in which these serve as strong drivers of the optimal functional and neural organisation. Young, Frühholz and Schweinberger (cont'd) 3 Understanding face and voice perception Human communication involves complex patterns of signals originating primarily from the face, voice, and body [1]. Whilst much of this communication takes the form of propositional speech, faces and voices can also convey common forms of information concerning a person's gender, age, identity, health and emotional state, and they create impressions of warmth, competence and other social traits [2,3]. Much modern research has therefore focussed on communication from the face and voice [4-9]. This review aims to strengthen theoretical approaches to key properties of face and voice perception. It offers a synthesis of existing evidence based on evaluating functional perspectives (see Glossary) and neural perspectives in light of the overarching background of what can be communicated through faces and voices, the different contingencies thiscreates, the demands of everyday life, and the ways in which these act as determinants of a communicative system that has to balance the needs of the sender and recipient.

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Section: Functional Demands Of Face and Voice Recognitionmentioning

confidence: 99%

Section: Box 2: Brain Regions Involved In Face and Voice Perceptionmentioning

confidence: 99%

Face and Voice Perception: Understanding Commonalities and Differences

Young

Frühholz

Schweinberger

2020

Trends in Cognitive Sciences

122

140

View full text Add to dashboard Cite

show abstract

“…Consistent with these studies, group studies of SD patients have shown that the recognition of famous names is relatively more affected by a left anterior temporal atrophy, while famous face recognition deficits are relatively more affected by a right anterior temporal atrophy [11,33,34]. Neuropsychological single-case studies of patients with anterior temporal atrophy [35][36][37][38] or focal anterior temporal damage [39] have also found evidence for graded hemispheric dissociations within person-related recognition abilities, i.e., relative differential impairments in accessing person-related information from faces or names depending on the hemispheric side of the lesion. Moreover, the lack of crossmodal adaptation effects to sequences of faces and names with the same identity in functional magnetic resonance imaging (fMRI) [40] has reinforced this view of two separate processing pathways for faces and names in the human brain.…”

Section: Introductionmentioning

confidence: 63%

Neurophysiological evidence for crossmodal (face-name) person-identity representation in the human left ventral temporal cortex

et al. 2020

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Putting a name to a face is a highly common activity in our daily life that greatly enriches social interactions. Although this specific person-identity association becomes automatic with learning, it remains difficult and can easily be disrupted in normal circumstances or neurological conditions. To shed light on the neural basis of this important and yet poorly understood association between different input modalities in the human brain, we designed a crossmodal frequency-tagging paradigm coupled to brain activity recording via scalp and intracerebral electroencephalography. In Experiment 1, 12 participants were presented with variable pictures of faces and written names of a single famous identity at a 4-Hz frequency rate while performing an orthogonal task. Every 7 items, another famous identity appeared, either as a face or a name. Robust electrophysiological responses were found exactly at the frequency of identity change (i.e., 4 Hz / 7 = 0.571 Hz), suggesting a crossmodal neural response to person identity. In Experiment 2 with twenty participants, two control conditions with periodic changes of identity for faces or names only were added to estimate the contribution of unimodal neural activity to the putative crossmodal face-name responses. About 30% of the response occurring at the frequency of crossmodal identity change over the left occipito-temporal cortex could not be accounted for by the linear sum of unimodal responses. Finally, intracerebral recordings in the left ventral anterior temporal lobe (ATL) in 7 epileptic patients tested with this paradigm revealed a small number of "pure" crossmodal responses, i.e., with no response to changes of identity for faces or names only. Altogether, these observations provide evidence for integration of verbal and nonverbal person identityspecific information in the human brain, highlighting the contribution of the left ventral ATL in the automatic retrieval of face-name identity associations.

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“…At the same time, multimodal deficits in recognizing people from both faces and voices have also been reported. Such multimodal deficits have been variably interpreted as potentially being caused by unilateral right-hemispheric anterior temporal lesions [ 89 , 90 , 91 ], or as being related to bilateral lesions [ 88 , 92 ]. In the present study, the N250 and sustained activity for learned vs. novel voices in the test phase did not exhibit significant lateralization to the right hemisphere.…”

Section: Discussionmentioning

confidence: 99%

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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Multimodal face and voice recognition disorders in a case with unilateral right anterior temporal lobe atrophy.

Abstract: the present case report seems to show that a unilateral right ATL atrophy can lead to a multimodal people recognition disorder through face and voice, in the absence of recognition difficulties through personal name. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Cited by 7 publications

References 72 publications

Face and Voice Perception: Understanding Commonalities and Differences

Face and Voice Perception: Understanding Commonalities and Differences

Neurophysiological evidence for crossmodal (face-name) person-identity representation in the human left ventral temporal cortex

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

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