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Shigeyuki Ikeda
Shigeyuki
Ikeda
Hikaru Takeuchi
Hikaru
Takeuchi
Yasuyuki Taki
Yasuyuki
Taki
Rui Nouchi
Rui
Nouchi
Ryoichi Yokoyama
Ryoichi
Yokoyama
Yuka Kotozaki
Yuka
Kotozaki
Seishu Nakagawa
Seishu
Nakagawa
Atsushi Sekiguchi
Atsushi
Sekiguchi
Kunio Iizuka
Kunio
Iizuka
Yuki Yamamoto
Yuki
Yamamoto
Sugiko Hanawa
Sugiko
Hanawa
Tsuyoshi Araki
Tsuyoshi
Araki
Carlos M. Miyauchi
Carlos M.
Miyauchi
Kohei Sakaki
Kohei
Sakaki
Takayuki Nozawa
Takayuki
Nozawa
Susumu Yokota
Susumu
Yokota
Daniele Magistro
Daniele
Magistro
Ryuta Kawashima
Ryuta
Kawashima
A comprehensive analysis of the correlations between resting-state oscillations in multiple-frequency bands and Big Five traits
Loughborough University
2017
Big Five traits
fALFF
Multiple-frequency bands
Extraversion
Multiple regression analysis
Medical and Health Sciences not elsewhere classified
2017-06-29 15:44:38
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/A_comprehensive_analysis_of_the_correlations_between_resting-state_oscillations_in_multiple-frequency_bands_and_Big_Five_traits/9619067
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.