A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits

• Published in: Frontiers in human neuroscience Vol. 11; p. 321
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 21.06.2017; Frontiers Media S.A
• Subjects: Aging; Big Five traits; Brain mapping; Brain research; Cancer; Decomposition; extraversion; fALFF; Females; Frequency dependence; Functional magnetic resonance imaging; Interdisciplinary aspects; Medical imaging; Medicine; Menstruation; Mental health; Multiple regression analysis; multiple-frequency bands; Neuroimaging; Neuroscience; Neurosciences; NMR; Nuclear magnetic resonance; Oscillations; Personality; Personality traits; Psychiatry; Science; Spatial discrimination; Studies; United Kingdom > UK; Japan; multiple-frequency bands; extraversion; multiple regression analysis; fALFF; Big Five traits
• ISSN: 1662-5161; 1662-5161
• DOI: 10.3389/fnhum.2017.00321

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.