Individualized white matter connectivity of the articulatory pathway: An ultra-high field study

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Kaisu Lankinen , Ruopeng Wang , Qiyuan Tian , Qing Mei Wang , Bridget J. Perry , Jordan R. Green , Teresa J. Kimberley , Jyrki Ahveninen , Shasha Li
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引用次数: 0

Abstract

In current sensorimotor theories pertaining to speech perception, there is a notable emphasis on the involvement of the articulatory-motor system in the processing of speech sounds. Using ultra-high field diffusion-weighted imaging at 7 Tesla, we visualized the white matter tracts connected to areas activated during a simple speech-sound production task in 18 healthy right-handed adults. Regions of interest for white matter tractography were individually determined through 7T functional MRI (fMRI) analyses, based on activations during silent vocalization tasks. These precentral seed regions, activated during the silent production of a lip-vowel sound, demonstrated anatomical connectivity with posterior superior temporal gyrus areas linked to the auditory perception of phonetic sounds. Our study provides a macrostructural foundation for understanding connections in speech production and underscores the central role of the articulatory motor system in speech perception. These findings highlight the value of ultra-high field 7T MR acquisition in unraveling the neural underpinnings of speech.

发音通路的个性化白质连接:超高场研究
在当前与言语感知有关的感觉运动理论中,发音运动系统在言语声音处理过程中的参与得到了显著强调。我们利用 7 特斯拉超高场弥散加权成像技术,对 18 名健康右撇子成人在完成简单的语音发声任务时被激活的区域所连接的白质束进行了可视化分析。根据无声发声任务中的激活情况,我们通过 7 T 功能磁共振成像(fMRI)分析确定了白质束成像的兴趣区域。这些在无声发声过程中被激活的前中央种子区与颞上回后部与语音听觉感知相关的区域具有解剖学连接性。我们的研究为理解语音产生过程中的连接提供了宏观结构基础,并强调了发音运动系统在语音感知中的核心作用。这些发现凸显了超高场 7T 磁共振采集在揭示语音神经基础方面的价值。
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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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