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

Shigeyuki Ikeda, Hikaru Takeuchi, Yasuyuki Taki, Rui Nouchi, Ryoichi Yokoyama, Yuka Kotozaki, Seishu Nakagawa, Atsushi Sekiguchi, Kunio Iizuka, Yuki Yamamoto, Sugiko Hanawa, Tsuyoshi Araki, Carlos Makoto Miyauchi, Kohei Sakaki, Takayuki Nozawa, Susumu Yokota, Daniele Magistro, Ryuta Kawashima

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Article number321
JournalFrontiers in Human Neuroscience
Volume11
DOIs
Publication statusPublished - Jun 21 2017

Fingerprint

Personality
Magnetic Resonance Imaging
Brain
Neuroimaging
Regression Analysis
Equipment and Supplies

All Science Journal Classification (ASJC) codes

  • Neuropsychology and Physiological Psychology
  • Neurology
  • Psychiatry and Mental health
  • Biological Psychiatry
  • Behavioral Neuroscience

Cite this

A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits. / 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; Kawashima, Ryuta.

In: Frontiers in Human Neuroscience, Vol. 11, 321, 21.06.2017.

Research output: Contribution to journalArticle

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, CM, Sakaki, K, Nozawa, T, Yokota, S, Magistro, D & 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, vol. 11, 321. https://doi.org/10.3389/fnhum.2017.00321
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 ; Kawashima, Ryuta. / A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits. In: Frontiers in Human Neuroscience. 2017 ; Vol. 11.
@article{5aab2a0be4364a52a7f7639c237c068d,
title = "A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits",
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.",
author = "Shigeyuki Ikeda and Hikaru Takeuchi and Yasuyuki Taki and Rui Nouchi and Ryoichi Yokoyama and Yuka Kotozaki and Seishu Nakagawa and Atsushi Sekiguchi and Kunio Iizuka and Yuki Yamamoto and Sugiko Hanawa and Tsuyoshi Araki and Miyauchi, {Carlos Makoto} and Kohei Sakaki and Takayuki Nozawa and Susumu Yokota and Daniele Magistro and Ryuta Kawashima",
year = "2017",
month = "6",
day = "21",
doi = "10.3389/fnhum.2017.00321",
language = "English",
volume = "11",
journal = "Frontiers in Human Neuroscience",
issn = "1662-5161",
publisher = "Frontiers Research Foundation",

}

TY - JOUR

T1 - A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and big five traits

AU - Ikeda, Shigeyuki

AU - Takeuchi, Hikaru

AU - Taki, Yasuyuki

AU - Nouchi, Rui

AU - Yokoyama, Ryoichi

AU - Kotozaki, Yuka

AU - Nakagawa, Seishu

AU - Sekiguchi, Atsushi

AU - Iizuka, Kunio

AU - Yamamoto, Yuki

AU - Hanawa, Sugiko

AU - Araki, Tsuyoshi

AU - Miyauchi, Carlos Makoto

AU - Sakaki, Kohei

AU - Nozawa, Takayuki

AU - Yokota, Susumu

AU - Magistro, Daniele

AU - Kawashima, Ryuta

PY - 2017/6/21

Y1 - 2017/6/21

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85021631136&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021631136&partnerID=8YFLogxK

U2 - 10.3389/fnhum.2017.00321

DO - 10.3389/fnhum.2017.00321

M3 - Article

AN - SCOPUS:85021631136

VL - 11

JO - Frontiers in Human Neuroscience

JF - Frontiers in Human Neuroscience

SN - 1662-5161

M1 - 321

ER -