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将声音转化为意义的腹侧语义语言网络:脑连接、直接电刺激和临床离断综合征的跨学科数据的综合。

Converting sounds to meaning with ventral semantic language networks: integration of interdisciplinary data on brain connectivity, direct electrical stimulation and clinical disconnection syndromes.

机构信息

UCL Queen Square Institute of Neurology, University College London, London, UK.

Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Brain Struct Funct. 2022 Jun;227(5):1545-1564. doi: 10.1007/s00429-021-02438-x. Epub 2022 Mar 10.

DOI:10.1007/s00429-021-02438-x
PMID:35267079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9098557/
Abstract

Numerous traditional linguistic theories propose that semantic language pathways convert sounds to meaningful concepts, generating interpretations ranging from simple object descriptions to communicating complex, analytical thinking. Although the dual-stream model of Hickok and Poeppel is widely employed, proposing a dorsal stream, mapping speech sounds to articulatory/phonological networks, and a ventral stream, mapping speech sounds to semantic representations, other language models have been proposed. Indeed, despite seemingly congruent models of semantic language pathways, research outputs from varied specialisms contain only partially congruent data, secondary to the diversity of applied disciplines, ranging from fibre dissection, tract tracing, and functional neuroimaging to neuropsychiatry, stroke neurology, and intraoperative direct electrical stimulation. The current review presents a comprehensive, interdisciplinary synthesis of the ventral, semantic connectivity pathways consisting of the uncinate, middle longitudinal, inferior longitudinal, and inferior fronto-occipital fasciculi, with special reference to areas of controversies or consensus. This is achieved by describing, for each tract, historical concept evolution, terminations, lateralisation, and segmentation models. Clinical implications are presented in three forms: (a) functional considerations derived from normal subject investigations, (b) outputs of direct electrical stimulation during awake brain surgery, and (c) results of disconnection syndromes following disease-related lesioning. The current review unifies interpretation of related specialisms and serves as a framework/thinking model for additional research on language data acquisition and integration.

摘要

许多传统语言学理论提出,语义语言通路将声音转化为有意义的概念,从而产生从简单的物体描述到传达复杂的分析思维的解释。尽管 Hickok 和 Poeppel 的双通路模型被广泛应用,提出了一个背侧通路,将语音映射到发音/音系网络,以及一个腹侧通路,将语音映射到语义表示,但也提出了其他语言模型。事实上,尽管语义语言通路的模型看似一致,但来自不同专业的研究结果只包含部分一致的数据,这是由于应用学科的多样性造成的,从纤维解剖、束追踪和功能神经影像学到神经精神病学、中风神经学和术中直接电刺激。本综述对由钩束、中纵束、下纵束和下额枕束组成的腹侧、语义连接通路进行了全面的、跨学科的综合,特别提到了有争议或一致的领域。这是通过描述每个束的历史概念演变、终止、偏侧化和分割模型来实现的。临床意义以三种形式呈现:(a) 从正常受试者研究中得出的功能考虑,(b) 清醒脑手术期间直接电刺激的输出,以及 (c) 疾病相关病变后切断综合征的结果。本综述统一了相关专业的解释,并为语言数据获取和整合的进一步研究提供了框架/思维模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7218/9098557/05f0d1decc05/429_2021_2438_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7218/9098557/068659ea9e78/429_2021_2438_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7218/9098557/a65942c1b991/429_2021_2438_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7218/9098557/f6212ecc52fe/429_2021_2438_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7218/9098557/45adccf5a520/429_2021_2438_Fig4_HTML.jpg
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