Brain activity supporting alternating speech for semantic words: simultaneous magnetoencephalographic recording

Author:

Anada Risa1,Watanabe Hayato23ORCID,Shimojo Atsushi245,Shiraishi Hideaki6,Yokosawa Koichi2

Affiliation:

1. Graduate School of Health Sciences, Hokkaido University , N-12, W-5, Kita-ku, Sapporo 060-0812, Hokkaido , Japan

2. Faculty of Health Sciences, Hokkaido University , N-12, W-5, Kita-ku, Sapporo 060-0812, Hokkaido , Japan

3. Department of Child Studies, Toyooka Junior College , Tobera 160, Toyooka 668-8580, Hyogo , Japan

4. Department of Pediatrics , Graduate School of Medicine, , N-15, W-7, Kita-ku, Sapporo 060-8638, Hokkaido , Japan

5. Hokkaido University , Graduate School of Medicine, , N-15, W-7, Kita-ku, Sapporo 060-8638, Hokkaido , Japan

6. Department of Pediatrics, Hokkaido University Hospital , N-14, W-5, Kita-ku, Sapporo 060-8648, Hokkaido , Japan

Abstract

Abstract Communication, especially conversation, is essential for human social life. Many previous studies have examined the neuroscientific underpinnings of conversation, i.e. language comprehension and speech production. However, conversation inherently involves two or more people, and unless two people actually interact with one another, the nature of the conversation cannot be truly revealed. Therefore, in this study, we used two magnetoencephalographs that were connected together, and simultaneously recorded brain activity while two people took turns speaking in a word association/alphabet completion task. We compared the amplitude modulation of the alpha- and beta-band rhythms within each of the 62 brain regions under semantic (word association; less predictable) and non-semantic (alphabet completion; more predictable) conditions. We found that the amplitudes of the rhythms were significantly different between conditions in a wide range of brain regions. Additionally, significant differences were observed in nearly the same group of brain regions after versus before each utterance, indicating that a wide range of brain areas is involved in predicting a conversation partner’s next utterance. This result supports the idea that mentalizing, e.g. predicting another person's speech, plays an important role in conversation, and suggests that the neural network implicated in mentalizing extends over a wide range of brain regions.

Funder

Japan Society for the Promotion of Science

Publisher

Oxford University Press (OUP)

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