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语言与视觉感知关联:布罗德曼37区的元分析连接建模

Language and visual perception associations: meta-analytic connectivity modeling of Brodmann area 37.

作者信息

Ardila Alfredo, Bernal Byron, Rosselli Monica

机构信息

Department of Communication Sciences and Disorders, Florida International University, Miami, FL 33199, USA.

Radiology Department and Research Institute, Miami Children's Hospital, Miami, FL 33155, USA.

出版信息

Behav Neurol. 2015;2015:565871. doi: 10.1155/2015/565871. Epub 2015 Jan 12.

Abstract

BACKGROUND

Understanding the functions of different brain areas has represented a major endeavor of neurosciences. Historically, brain functions have been associated with specific cortical brain areas; however, modern neuroimaging developments suggest cognitive functions are associated to networks rather than to areas.

OBJECTIVE

The purpose of this paper was to analyze the connectivity of Brodmann area (BA) 37 (posterior, inferior, and temporal/fusiform gyrus) in relation to (1) language and (2) visual processing.

METHODS

Two meta-analyses were initially conducted (first level analysis). The first one was intended to assess the language network in which BA37 is involved. The second one was intended to assess the visual perception network. A third meta-analysis (second level analysis) was then performed to assess contrasts and convergence between the two cognitive domains (language and visual perception). The DataBase of Brainmap was used.

RESULTS

Our results support the role of BA37 in language but by means of a distinct network from the network that supports its second most important function: visual perception.

CONCLUSION

It was concluded that left BA37 is a common node of two distinct networks-visual recognition (perception) and semantic language functions.

摘要

背景

了解不同脑区的功能一直是神经科学的一项主要工作。从历史上看,脑功能一直与特定的大脑皮质区域相关联;然而,现代神经影像学的发展表明,认知功能与网络相关,而非与区域相关。

目的

本文旨在分析布罗德曼区(BA)37(后部、下部和颞/梭状回)与(1)语言和(2)视觉处理相关的连通性。

方法

最初进行了两项荟萃分析(一级分析)。第一项旨在评估BA37所涉及的语言网络。第二项旨在评估视觉感知网络。然后进行了第三项荟萃分析(二级分析),以评估两个认知领域(语言和视觉感知)之间的对比和趋同情况。使用了脑图谱数据库。

结果

我们的结果支持BA37在语言方面的作用,但通过一个与支持其第二重要功能(视觉感知)的网络不同的网络来实现。

结论

得出的结论是,左侧BA37是两个不同网络——视觉识别(感知)和语义语言功能的共同节点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a3/4306224/2a889c3af35d/BN2015-565871.001.jpg

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