Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
Sci Adv. 2021 Feb 3;7(6). doi: 10.1126/sciadv.abd4074. Print 2021 Feb.
Prompted by recent evidence of neural circuitry in rodent models, functional magnetic resonance imaging and functional connectivity analyses were conducted for a large adolescent population at two ages, together with alcohol abuse measures, to characterize a neural network that may underlie the onset of alcoholism. A network centered on the medial orbitofrontal cortex (mOFC), as well as including the dorsal periaqueductal gray (dPAG), central nucleus of the amygdala, and nucleus accumbens, was identified, consistent with the rodent models, with evidence of both inhibitory and excitatory coregulation by the mOFC over the dPAG. Furthermore, significant relationships were detected between raised baseline excitatory coregulation in this network and impulsivity measures, supporting a role for negative urgency in alcohol dependence.
受啮齿动物模型中神经回路的最新证据的启发，对两个年龄段的大量青少年进行了功能磁共振成像和功能连接分析，并结合酒精滥用措施，以描述可能导致酗酒的神经网络。确定了一个以内侧眶额皮层（mOFC）为中心的网络，包括背侧导水管周围灰质（dPAG）、杏仁核中央核和伏隔核，与啮齿动物模型一致，mOFC 对 dPAG 的抑制和兴奋核心调节均有证据。此外，还检测到该网络中基础兴奋性核心调节升高与冲动性测量之间存在显著关系，支持负性冲动在酒精依赖中的作用。
