A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits
A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits
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.
Big five traits, Extraversion, fALFF, Multiple regression analysis, Multiple-frequency bands
Ikeda, Shigeyuki
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Takeuchi, Hikaru
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Taki, Yasuyuki
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Nouchi, Rui
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Yokoyama, Ryoichi
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Kotozaki, Yuka
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Nakagawa, Seishu
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Sekiguchi, Atsushi
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Iizuka, Kunio
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Yamamoto, Yuki
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Hanawa, Sugiko
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Araki, Tsuyoshi
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Miyauchi, Carlos Makoto
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Sakaki, Kohei
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Nozawa, Takayuki
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Yokota, Susumu
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Magistro, Daniele
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Kawashima, Ryuta
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21 June 2017
Ikeda, Shigeyuki
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Takeuchi, Hikaru
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Taki, Yasuyuki
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Nouchi, Rui
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Yokoyama, Ryoichi
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Kotozaki, Yuka
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Nakagawa, Seishu
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Sekiguchi, Atsushi
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Iizuka, Kunio
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Yamamoto, Yuki
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Hanawa, Sugiko
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Araki, Tsuyoshi
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Miyauchi, Carlos Makoto
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Sakaki, Kohei
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Nozawa, Takayuki
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Yokota, Susumu
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Magistro, Daniele
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Kawashima, Ryuta
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Ikeda, Shigeyuki, Takeuchi, Hikaru, Taki, Yasuyuki, Nouchi, Rui, Yokoyama, Ryoichi, Kotozaki, Yuka, Nakagawa, Seishu, Sekiguchi, Atsushi, Iizuka, Kunio, Yamamoto, Yuki, Hanawa, Sugiko, Araki, Tsuyoshi, Miyauchi, Carlos Makoto, Sakaki, Kohei, Nozawa, Takayuki, Yokota, Susumu, Magistro, Daniele and Kawashima, Ryuta
(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].
(doi:10.3389/fnhum.2017.00321).
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.
Text
fnhum-11-00321
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More information
Accepted/In Press date: 6 June 2017
Published date: 21 June 2017
Keywords:
Big five traits, Extraversion, fALFF, Multiple regression analysis, Multiple-frequency bands
Identifiers
Local EPrints ID: 510624
URI: http://eprints.soton.ac.uk/id/eprint/510624
ISSN: 1662-5161
PURE UUID: 5e0b9be1-75c5-4c0c-8569-d1e4ba83f4f5
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Date deposited: 14 Apr 2026 16:44
Last modified: 16 Apr 2026 02:18
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Contributors
Author:
Shigeyuki Ikeda
Author:
Hikaru Takeuchi
Author:
Yasuyuki Taki
Author:
Rui Nouchi
Author:
Ryoichi Yokoyama
Author:
Yuka Kotozaki
Author:
Seishu Nakagawa
Author:
Atsushi Sekiguchi
Author:
Kunio Iizuka
Author:
Yuki Yamamoto
Author:
Sugiko Hanawa
Author:
Tsuyoshi Araki
Author:
Carlos Makoto Miyauchi
Author:
Kohei Sakaki
Author:
Takayuki Nozawa
Author:
Susumu Yokota
Author:
Daniele Magistro
Author:
Ryuta Kawashima
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