Comparative EEG reveals general and conspecific vocalization sensitivities in evolutionarily distant mammal species

IF 4.5 2区 医学 Q1 NEUROIMAGING
Boglárka Morvai , Marianna Boros , Elodie Ferrando , Lilla Magyari , Attila Andics
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引用次数: 0

Abstract

Mammal brains are tuned to vocal sounds. This tuning is reflected by at least two component processes: general and conspecific vocalization sensitivities. Using non-invasive electrophysiology, we directly compared the temporal characteristics of these sensitivities in three phylogenetically distant mammal species: humans (N = 20), dogs (N = 38) and pigs (N = 11). Event-related potentials (ERPs) were recorded while participants listened to human, dog, pig, and non-vocal sounds. On frontal electrodes, humans and pigs exhibited general vocalization sensitivity: differential ERPs for any vocalizations versus non-vocal sounds, already in early time windows (humans: 162–378 and 534–726 ms, pigs: 72–540 ms), indicating vocalizations’ greater perceived saliency. Conspecific vocalization sensitivity, i.e. ERP differences between conspecific vocalizations and any other sounds were identified in all three species, in later time windows (humans: 468–552 and 572–640 ms, dogs: 314–506 ms; pigs: 254–436 ms), perhaps reflecting categorical processing. These findings reveal that general and conspecific vocalization sensitivities are served by evolutionarily conserved, temporally and functionally distinct neural mechanisms.
比较脑电图揭示了进化上遥远的哺乳动物物种的一般和同种发声敏感性
哺乳动物的大脑对声音很敏感。这种调谐至少反映在两个组成过程中:一般和同向发声敏感性。利用非侵入性电生理学,我们直接比较了人类(N = 20)、狗(N = 38)和猪(N = 11)三种系统发育上距离较远的哺乳动物的这些敏感性的时间特征。当参与者听到人、狗、猪和非声音时,记录下事件相关电位(erp)。在额叶电极上,人类和猪表现出一般的发声敏感性:在早期时间窗口(人类:162-378 ms和534-726 ms,猪:72-540 ms)中,任何发声与非发声的erp都存在差异,表明发声的感知显著性更强。在较晚的时间窗口(人类:468-552 ms和572-640 ms,狗:314-506 ms;猪:254-436毫秒),可能反映了分类加工。这些发现表明,一般和同种发声敏感性是由进化上保守的、时间和功能上不同的神经机制服务的。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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