Atypical prosopagnosia following right hemispheric stroke: A 23-year follow-up study with M.T.

Schroeger, Anna; Kaufmann, Jürgen M.; Zäske, Romi; Kovács, Gyula; Klos, Thomas; Schweinberger, Stefan R.

doi:10.1080/02643294.2022.2119838

Cited by 4 publications

(1 citation statement)

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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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