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
Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.
Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.
Front Hum Neurosci. 2017 Jun 21;11:321. doi: 10.3389/fnhum.2017.00321. eCollection 2017.
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.
最近，人类人格特质与静息态脑活动之间的关联在神经影像学研究中受到了关注。然而，尚不清楚大五人格特质是否在静息态功能磁共振成像（fMRI）活动的频段（约0.25赫兹）中有所体现。基于早期的神经生理学研究，我们调查了由NEO五因素问卷（NEO-FFI）评估的五种人格特质与四个不同频段（慢波5（0.01-0.027赫兹）、慢波4（0.027-0.073赫兹）、慢波3（0.073-0.198赫兹）和慢波2（0.198-0.25赫兹））的低频波动分数振幅（fALFF）之间的相关性。我们招募了835名年轻受试者，并使用多元回归分析计算静息态fMRI信号的相关性。我们发现在所有频段中，fALFF与外向性人格特质之间存在显著且一致的相关性。此外，在每个频段的不同脑区中都检测到了显著的相关性。这一发现支持了先前提出的人格特质的频率特异性空间表征。总之，我们的数据突出了人类人格特质与四个不同频段的fALFF之间存在关联。
