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
N1 - Funding Information:
This work was supported by JST/RISTEX, JST/CREST and a Grant-in-Aid for Young Scientists (B) (KAKENHI 23700306) and Young Scientists (A) (KAKENHI 25700012) from the Ministry of Education, Culture, Sports, Science and Technology. We thank Yuki Yamada for helping MRI scanning, Haruka Nouchi for conducting the psychological tests, the other assistants who helped with our experiments, the participants in the projects and all our laboratory colleagues for their support.
Publisher Copyright:
© 2017 Ikeda, Takeuchi, Taki, Nouchi, Yokoyama, Kotozaki, Nakagawa, Sekiguchi, Iizuka, Yamamoto, Hanawa, Araki, Miyauchi, Sakaki, Nozawa, Yokota, Magistro and Kawashima.
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.
KW - Big five traits
KW - Extraversion
KW - Multiple regression analysis
KW - Multiple-frequency bands
KW - fALFF
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U2 - 10.3389/fnhum.2017.00321
DO - 10.3389/fnhum.2017.00321
M3 - Article
AN - SCOPUS:85021631136
SN - 1662-5161
VL - 11
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
M1 - 321
ER -
