2134/25629 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.