Li Jingguang, Kong Xiang-Zhen
College of Education, Dali University, Dali, China.
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
PeerJ. 2017 Jul 6;5:e3533. doi: 10.7717/peerj.3533. eCollection 2017.
Impulsivity is one crucial personality trait associated with various maladaptive behavior and many mental disorders. In the study reported here, we investigated the relationship between impulsivity and morphological connectivity (MC) between human brain regions, a newly proposed measure for brain coordination through the development and learning.
Twenty-four participants' T1-weighted magnetic resonance imaging (MRI) images and their self-reported impulsivity scores, measured by the Barratt impulsiveness scale (BIS), were retrieved from the OpenfMRI project. First, we assessed the MC by quantifying the similarity of probability density function of local morphological features between the anterior cingulate cortex (ACC), one of the most crucial hubs in the neural network modulating cognitive control, and other association cortices in each participant. Then, we correlated the MC to impulsivity scores across participants.
The BIS total score was found to correlate with the MCs between the ACC and two other brain regions in the right hemisphere: the inferior frontal gyrus (IFG), a well-established structure for inhibition control; the inferior temporal gyrus (ITG), which has been previously shown to be associated with hyperactive/impulsivity symptoms. Furthermore, the ACC-IFG MC was mainly correlated with motor impulsivity, and the ACC-ITG MC was mainly correlated with attentional impulsivity.
Together, these findings provide evidence that the ACC, IFG, and ITG in the right hemisphere are involved neural networks modulating impulsivity. Also, the current findings highlight the utility of MC analyses in facilitating our understanding of neural correlates of behavioral and personality traits.
冲动性是一种关键的人格特质,与各种适应不良行为和多种精神障碍相关。在本文报道的研究中,我们调查了冲动性与人类脑区之间形态连接性(MC)的关系,MC是一种通过发育和学习对大脑协调性进行测量的新方法。
从OpenfMRI项目中获取了24名参与者的T1加权磁共振成像(MRI)图像以及他们通过巴拉特冲动性量表(BIS)测得的自我报告冲动性得分。首先,我们通过量化前扣带回皮质(ACC,神经网络中调节认知控制的最关键枢纽之一)与每位参与者的其他联合皮质之间局部形态特征概率密度函数的相似性来评估MC。然后,我们将参与者的MC与冲动性得分进行关联。
发现BIS总分与ACC和右半球其他两个脑区之间的MC相关:额下回(IFG),一个已确立的抑制控制结构;颞下回(ITG),先前已证明其与多动/冲动症状相关。此外,ACC - IFG的MC主要与运动冲动性相关,而ACC - ITG的MC主要与注意力冲动性相关。
总之,这些发现提供了证据,表明右半球的ACC、IFG和ITG参与了调节冲动性的神经网络。此外,当前的发现突出了MC分析在促进我们理解行为和人格特质的神经相关性方面的作用。