Effects of time-compressed speech training on multiple functional and structural neural mechanisms involving the left superior temporal gyrus

Maruyama, T., Takeuchi, H., Taki, Y., Motoki, K., Jeong, H., Kotozaki, Y., Nakagawa, S., Nouchi, R., Iizuka, K., Yokoyama, R., Yamamoto, Y., Hanawa, S., Araki, T., Sakaki, K., Sasaki, Y., Magistro, D. ORCID: 0000-0002-2554-3701 and Kawashima, R., 2018. Effects of time-compressed speech training on multiple functional and structural neural mechanisms involving the left superior temporal gyrus. Neural Plasticity, 2018: 6574178. ISSN 2090-5904

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Abstract

Time-compressed speech is an artificial form of rapidly presented speech. Training with time-compressed speech (TCSSL) in a second language leads to adaptation toward TCSSL. Here, we newly investigated the effects of 4 weeks of training with TCSSL on diverse cognitive functions and neural systems using the fractional amplitude of spontaneous low-frequency fluctuations (fALFF), resting-state functional connectivity (RSFC) with the left superior temporal gyrus (STG), fractional anisotropy (FA), and regional gray matter volume (rGMV) of young adults by magnetic resonance imaging. There were no significant differences in change of performance of measures of cognitive functions or second language skills after training with TCSSL compared with that of the active control group. However, compared with the active control group, training with TCSSL was associated with increased fALFF, RSFC, and FA and decreased rGMV involving areas in the left STG. These results lacked evidence of a far transfer effect of time-compressed speech training on a wide range of cognitive functions and second language skills in young adults. However, these results demonstrated effects of time-compressed speech training on gray and white matter structures as well as on resting-state intrinsic activity and connectivity involving the left STG, which plays a key role in listening comprehension.

Item Type: Journal article
Publication Title: Neural Plasticity
Creators: Maruyama, T., Takeuchi, H., Taki, Y., Motoki, K., Jeong, H., Kotozaki, Y., Nakagawa, S., Nouchi, R., Iizuka, K., Yokoyama, R., Yamamoto, Y., Hanawa, S., Araki, T., Sakaki, K., Sasaki, Y., Magistro, D. and Kawashima, R.
Publisher: Hindawi
Date: 2018
Volume: 2018
ISSN: 2090-5904
Identifiers:
NumberType
10.1155/2018/6574178DOI
Rights: Copyright © 2018 Tsukasa Maruyama et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 08 May 2018 14:43
Last Modified: 08 May 2018 14:43
URI: http://irep.ntu.ac.uk/id/eprint/33461

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