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

作者：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

来源：Frontiers in Human Neuroscience, 2017, 11: 321.

DOI：10.3389/fnhum.2017.00321

• Big Five traits
• fALFF
• multiple-frequency bands
• extraversion
• multiple regression analysis

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 (similar to 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.

• 出版日期2017-6-21