Zhai Tianye, Shao Yongcong, Chen Gang, Ye Enmao, Ma Lin, Wang Lubin, Lei Yu, Chen Guangyu, Li Wenjun, Zou Feng, Jin Xiao, Li Shi-Jiang, Yang Zheng
Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Science, Beijing, PR China; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA; Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, PR China.
Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Science, Beijing, PR China.
Neuroimage. 2015 Jul 15;115:76-84. doi: 10.1016/j.neuroimage.2015.04.060. Epub 2015 May 2.
Advanced neuroimaging studies have identified brain correlates of pathological impulsivity in a variety of neuropsychiatric disorders. However, whether and how these spatially separate and functionally integrated neural correlates collectively contribute to aberrant impulsive behaviors remains unclear. Building on recent progress in neuroeconomics toward determining a biological account of human behaviors, we employed resting-state functional MRI to characterize the nature of the links between these neural correlates and to investigate their impact on impulsivity. We demonstrated that through functional connectivity with the ventral medial prefrontal cortex, the δ-network (regions of the executive control system, such as the dorsolateral prefrontal cortex) and the β-network (regions of the reward system involved in the mesocorticolimbic pathway), jointly influence impulsivity measured by the Barratt impulsiveness scale scores. In control nondrug-using subjects, the functional link between the β- and δ-networks is balanced, and the δ-network competitively controls impulsivity. However, in abstinent heroin-dependent subjects, the link is imbalanced, with stronger β-network connectivity and weaker δ-network connectivity. The imbalanced link is associated with impulsivity, indicating that the β- and δ-networks may mutually reinforce each other in abstinent heroin-dependent subjects. These findings of an aberrant link between the β- and δ-networks in abstinent heroin-dependent subjects may shed light on the mechanism of aberrant behaviors of drug addiction and may serve as an endophenotype to mark individual subjects' self-control capacity.
先进的神经影像学研究已经确定了多种神经精神疾病中病理性冲动的大脑相关因素。然而,这些在空间上分离且功能上整合的神经相关因素是否以及如何共同导致异常冲动行为仍不清楚。基于神经经济学在确定人类行为生物学解释方面的最新进展,我们采用静息态功能磁共振成像来表征这些神经相关因素之间联系的本质,并研究它们对冲动性的影响。我们证明,通过与腹内侧前额叶皮层的功能连接,δ网络(执行控制系统区域,如背外侧前额叶皮层)和β网络(参与中脑皮质边缘通路的奖赏系统区域)共同影响由巴拉特冲动性量表得分衡量的冲动性。在未使用药物的对照受试者中,β网络和δ网络之间的功能联系是平衡的,并且δ网络竞争性地控制冲动性。然而,在戒断的海洛因依赖受试者中,这种联系是不平衡的,β网络连接更强而δ网络连接更弱。这种不平衡联系与冲动性相关,表明在戒断的海洛因依赖受试者中,β网络和δ网络可能相互增强。在戒断的海洛因依赖受试者中β网络和δ网络之间异常联系的这些发现可能有助于揭示药物成瘾异常行为的机制,并可能作为一种内表型来标记个体受试者的自我控制能力。