观察会说话的面孔:婴儿时期视觉音节皮层表征的发展。

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-09-01 DOI:10.1016/j.bandl.2023.105304
Aleksandra A.W. Dopierała , David López Pérez , Evelyne Mercure , Agnieszka Pluta , Anna Malinowska-Korczak , Samuel Evans , Tomasz Wolak , Przemysław Tomalski
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引用次数: 0

摘要

从出生起,我们就通过听到和看到人们说话来感知言语。在成年人中,视觉言语的皮层表征是在假定的时间视觉言语区(TVSA)中处理的,但这些表征是如何发展的尚不清楚。我们使用功能性近红外光谱测量了婴儿对无声视觉音节和非交流性口腔运动的皮层反应。我们的研究结果表明,视觉言语的皮层专业化可能在婴儿期出现。假定的TVSA在5个月大左右对视觉音节和咕咕叫都很活跃,在10个月大前后对咕咕叫比对视觉音节更活跃。在10个月大时,对皮层对视觉语言和古宁的不同反应的多变量模式分析分类是成功的,但在5个月大的时候没有成功。这些发现表明,视觉言语的皮层表征在5到10个月大之间发生变化,表明假定的TVSA最初是广泛调节的,并随着年龄的增长而变得有选择性。
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Watching talking faces: The development of cortical representation of visual syllables in infancy

From birth, we perceive speech by hearing and seeing people talk. In adults cortical representations of visual speech are processed in the putative temporal visual speech area (TVSA), but it remains unknown how these representations develop. We measured infants’ cortical responses to silent visual syllables and non-communicative mouth movements using functional Near-Infrared Spectroscopy. Our results indicate that cortical specialisation for visual speech may emerge during infancy. The putative TVSA was active to both visual syllables and gurning around 5 months of age, and more active to gurning than to visual syllables around 10 months of age. Multivariate pattern analysis classification of distinct cortical responses to visual speech and gurning was successful at 10, but not at 5 months of age. These findings imply that cortical representations of visual speech change between 5 and 10 months of age, showing that the putative TVSA is initially broadly tuned and becomes selective with age.

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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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