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Magnetic resonance imaging of the brain and vocal tract: Applications to the study of speech production and language learning

机译:大脑和声带的磁共振成像:在语言生产和语言学习研究中的应用

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摘要

The human vocal system is highly plastic, allowing for the flexible expression of language, mood and intentions. However, this plasticity is not stable throughout the life span, and it is well documented that adult learners encounter greater difficulty than children in acquiring the sounds of foreign languages. Researchers have used magnetic resonance imaging (MRI) to interrogate the neural substrates of vocal imitation and learning, and the correlates of individual differences in phonetic "talent". In parallel, a growing body of work using MR technology to directly image the vocal tract in real time during speech has offered primarily descriptive accounts of phonetic variation within and across languages. In this paper, we review the contribution of neural MRI to our understanding of vocal learning, and give an overview of vocal tract imaging and its potential to inform the field. We propose methods by which our understanding of speech production and learning could be advanced through the combined measurement of articulation and brain activity using MRI. specifically, we describe a novel paradigm, developed in our laboratory, that uses both MRI techniques to for the first time map directly between neural, articulatory and acoustic data in the investigation of vocalisation. This non-invasive, multimodal imaging method could be used to track central and peripheral correlates of spoken language learning, and speech recovery in clinical settings, as well as provide insights into potential sites for targeted neural interventions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:人类声乐系统是高度塑料,允许灵活的语言,情绪和意图表达。然而,这种可塑性在整个寿命中都不稳定,并且有很好的记录,成年学习者遇到更困难而不是孩子获取外语的声音。研究人员使用了磁共振成像(MRI)来询问声乐仿和学习的神经基材,以及语音“人才”的个体差异的相关性。并行地,使用MR技术在演讲中实时使用MR技术直接以直接形象声带的工作体内的生长作用,主要是在语言内和跨越语言内的语音变化的描述性描述。在本文中,我们审查了神经华人员对我们对声乐学习的理解的贡献,并概述了声乐道成像及其通知领域的潜力。我们提出了通过使用MRI的铰接和大脑活动的综合测量来推进我们对语音生产和学习的理解。具体而言,我们描述了在我们的实验室开发的新型范式,它使用MRI技术直接在声音调查中直接在神经,明晰度和声学数据之间映射。这种非侵入性的多模式成像方法可用于跟踪口语语言学习的中央和外围相关性,以及临床环境中的语音恢复,以及为目标神经干预的潜在网站提供洞察力。 (c)2016 Elsevier Ltd.保留所有权利。

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