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布罗卡失语症中对抽象词汇的非典型联想。

Atypical associations to abstract words in Broca's aphasia.

机构信息

Department of Linguistics and Phonetics, Lund University, Sweden.

出版信息

Cortex. 2012 Sep;48(8):1068-72. doi: 10.1016/j.cortex.2011.11.009. Epub 2011 Nov 23.

Abstract

INTRODUCTION

Left frontal brain lesions are known to give rise to aphasia and impaired word associations. These associations have previously been difficult to analyze. We used a semantic space method to investigate associations to cue words. The degree of abstractness of the generated words and semantic similarity to the cue words were measured.

METHOD

Three subjects diagnosed with Broca's aphasia and twelve control subjects associated freely to cue words. Results were evaluated with latent semantic analysis (LSA) applied to the Swedish Parole corpus.

RESULTS

The aphasic subjects could be clearly distinguished from controls by a lower degree of abstractness in the words they generated. The aphasic group's associations showed a negative correlation between semantic similarity to cue word and abstractness of cue word.

CONCLUSIONS

By developing novel semantic measures, we showed that Broca's aphasic subjects' word production was characterized by a low degree of abstractness and low degree of coherence in associations to abstract cue words. The results support models where meanings of concrete words are represented in neural networks involving perceptual and motor areas, whereas the meaning of abstract words is more dependent on connections to other word forms in the left frontal region. Semantic spaces can be used in future developments of evaluative tools for both diagnosis and research purposes.

摘要

引言

左额叶脑损伤已知会导致失语症和受损的单词联想。这些联想以前很难分析。我们使用语义空间方法来研究提示词的联想。生成词的抽象程度和与提示词的语义相似性都得到了测量。

方法

三名被诊断为布洛卡失语症的受试者和十二名对照受试者自由地对提示词进行联想。结果使用应用于瑞典语词库的潜在语义分析(LSA)进行评估。

结果

通过生成词的抽象程度较低,可将失语症患者与对照组明显区分开来。失语症组的联想表现出提示词的语义相似性与提示词的抽象程度之间的负相关。

结论

通过开发新的语义度量方法,我们表明,布罗卡失语症患者的单词生成特征是生成抽象提示词时的低抽象度和低连贯性。研究结果支持这样的模型,即具体单词的含义在涉及感知和运动区域的神经网络中得到表示,而抽象单词的含义则更多地依赖于与左额叶区域中的其他单词形式的连接。语义空间可用于未来开发诊断和研究目的的评估工具。

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