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Scaling laws in spoken language associated with cognitive functions

Masato S. Abe, Mihoko Otake-Matsuura
doi: https://doi.org/10.1101/841247
Masato S. Abe
1RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan (Tel: +81-048-467-3627)
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  • For correspondence: masato.abe@riken.jp
Mihoko Otake-Matsuura
1RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan (Tel: +81-048-467-3627)
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Abstract

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.

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Posted November 13, 2019.
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Scaling laws in spoken language associated with cognitive functions
Masato S. Abe, Mihoko Otake-Matsuura
bioRxiv 841247; doi: https://doi.org/10.1101/841247
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Scaling laws in spoken language associated with cognitive functions
Masato S. Abe, Mihoko Otake-Matsuura
bioRxiv 841247; doi: https://doi.org/10.1101/841247

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