Scaling laws in spoken language associated with cognitive functions
Scaling laws in spoken language associated with cognitive functions
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口语中与认知功能相关的尺度规律
DOI：
10.1101/841247
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Mihoko Otake-Matsuura
中科院分区：
文献类型：
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作者：
Masato S. Abe;Mihoko Otake-Matsuura
由于衰老导致的认知功能下降已经导致现代社会的严重问题，并且必须开发一种方法来预测衰退或相关疾病，包括痴呆症。尽管人们一直认为语言可能是认知能力下降的一个标志，但人们对它的理解仍然较少，特别是在自然条件下。本研究记录了健康老年人100万词的大规模群体对话数据，并基于标度律（Zipf's law和Heaps' law）分析了口语与认知功能的关系。我们发现，无论认知功能如何，单词模式都遵循这些标度律，但标度律的变化与认知功能有关。此外，使用生成模型，我们揭示了变异和认知功能之间的关系。这些结果表明，语言中的比例律可以作为认知能力下降的生物标志物。
A decline in cognitive functions due to aging has led to critical problems in modern society, and it is imperative to develop a method to predict the decline or related diseases, including dementia. Although it has been expected that language could be a sign of the cognitive decline, it remains less understood, especially in natural conditions. In this study, we recorded the large-scale data of one million words from group conversations among healthy elderly people and analysed the relationship between spoken language and cognitive functions based on scaling laws, namely, Zipf’s law and Heaps’ law. We found that word patterns followed these scaling laws irrespective of cognitive function, but the variations in scaling laws were associated with cognitive functions. Moreover, using generative models, we uncovered the relationship between the variations and cognitive functions. These results indicate that scaling laws in language can be a biomarker for the cognitive decline.