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基于病变-症状映射的语言网络功能分化。

Functional differentiation in the language network revealed by lesion-symptom mapping.

机构信息

Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States.

Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States.

出版信息

Neuroimage. 2022 Feb 15;247:118778. doi: 10.1016/j.neuroimage.2021.118778. Epub 2021 Dec 9.

DOI:10.1016/j.neuroimage.2021.118778
PMID:34896587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8830186/
Abstract

Theories of language organization in the brain commonly posit that different regions underlie distinct linguistic mechanisms. However, such theories have been criticized on the grounds that many neuroimaging studies of language processing find similar effects across regions. Moreover, condition by region interaction effects, which provide the strongest evidence of functional differentiation between regions, have rarely been offered in support of these theories. Here we address this by using lesion-symptom mapping in three large, partially-overlapping groups of aphasia patients with left hemisphere brain damage due to stroke (N = 121, N = 92, N = 218). We identified multiple measure by region interaction effects, associating damage to the posterior middle temporal gyrus with syntactic comprehension deficits, damage to posterior inferior frontal gyrus with expressive agrammatism, and damage to inferior angular gyrus with semantic category word fluency deficits. Our results are inconsistent with recent hypotheses that regions of the language network are undifferentiated with respect to high-level linguistic processing.

摘要

大脑语言组织理论通常假定不同的区域是不同语言机制的基础。然而,这些理论受到了批评,因为许多语言处理的神经影像学研究在不同区域发现了相似的影响。此外,条件与区域的相互作用效应为区域之间的功能分化提供了最强有力的证据,但很少有证据支持这些理论。在这里,我们通过使用因中风导致左半球脑损伤的三个大型、部分重叠的失语症患者群体的损伤-症状映射来解决这个问题(N=121,N=92,N=218)。我们确定了多个多重测量与区域相互作用效应,将后颞中回的损伤与句法理解缺陷相关联,将后下额下回的损伤与表达性语法缺失相关联,将下颞角回的损伤与语义类别单词流畅性缺陷相关联。我们的结果与最近的假设不一致,即语言网络的区域在高级语言处理方面没有差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/e340f12c5b28/nihms-1774993-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/9a9069cf464f/nihms-1774993-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/53950c499c09/nihms-1774993-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/5fd157e5c599/nihms-1774993-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/e340f12c5b28/nihms-1774993-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/9a9069cf464f/nihms-1774993-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/53950c499c09/nihms-1774993-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/5fd157e5c599/nihms-1774993-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca0/8830186/e340f12c5b28/nihms-1774993-f0004.jpg

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