A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits

Ikeda, S., Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Yokota, S., Magistro, D. ORCID: 0000-0002-2554-3701 and Kawashima, R., 2017. A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits. Frontiers in Human Neuroscience, 11: 321. ISSN 1662-5161

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Abstract

Recently, the association between human personality traits and resting-state brain activity has gained interest in neuroimaging studies. However, it remains unclear if Big Five personality traits are represented in frequency bands (~0.25 Hz) of resting-state functional magnetic resonance imaging (fMRI) activity. Based on earlier neurophysiological studies, we investigated the correlation between the five personality traits assessed by the NEO Five-Factor Inventory (NEO-FFI), and the fractional amplitude of low-frequency fluctuation (fALFF) at four distinct frequency bands (slow-5 (0.01–0.027 Hz), slow-4 (0.027–0.073 Hz), slow-3 (0.073–0.198 Hz) and slow-2 (0.198–0.25 Hz)). We enrolled 835 young subjects and calculated the correlations of resting-state fMRI signals using a multiple regression analysis. We found a significant and consistent correlation between fALFF and the personality trait of extraversion at all frequency bands. Furthermore, significant correlations were detected in distinct brain regions for each frequency band. This finding supports the frequency-specific spatial representations of personality traits as previously suggested. In conclusion, our data highlight an association between human personality traits and fALFF at four distinct frequency bands.

Item Type: Journal article
Publication Title: Frontiers in Human Neuroscience
Creators: Ikeda, S., Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Yokota, S., Magistro, D. and Kawashima, R.
Publisher: Frontiers Research Foundation
Date: 2017
Volume: 11
ISSN: 1662-5161
Identifiers:
NumberType
10.3389/fnhum.2017.00321DOI
Rights: © 2017 Ikeda, Takeuchi, Taki, Nouchi, Yokoyama, Kotozaki, Nakagawa, Sekiguchi, Iizuka, Yamamoto, Hanawa, Araki, Miyauchi, Sakaki, Nozawa, Yokota, Magistro and Kawashima. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 10 May 2018 09:53
Last Modified: 10 May 2018 09:57
URI: http://irep.ntu.ac.uk/id/eprint/33509

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