Vytlacil Jason, Kayser Andrew, Miyakawa Asako, D'Esposito Mark
Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, California, United States of America ; Department of Psychology, University of California at Berkeley, Berkeley, California, United States of America.
Ernest Gallo Clinic & Research Center, University of California at San Francisco, San Francisco, California, United States of America.
PLoS One. 2014 Jan 31;9(1):e87109. doi: 10.1371/journal.pone.0087109. eCollection 2014.
Here, we present an approach for identifying brainstem dopaminergic pathways using resting state functional MRI. In a group of healthy individuals, we searched for significant functional connectivity between dopamine-rich midbrain areas (substantia nigra; ventral tegmental area) and a striatal region (caudate) that was modulated by both a pharmacological challenge (the administration of the dopaminergic agonist bromocriptine) and a dopamine-sensitive cognitive trait (an individual's working memory capacity). A significant inverted-U shaped connectivity pattern was found in a subset of midbrain-striatal connections, demonstrating that resting state fMRI data is sufficiently powerful to identify brainstem neuromodulatory brain networks.
在此,我们提出一种利用静息态功能磁共振成像来识别脑干多巴胺能通路的方法。在一组健康个体中,我们探寻富含多巴胺的中脑区域(黑质;腹侧被盖区)与一个纹状体区域(尾状核)之间显著的功能连接,这种连接受到药理学激发(给予多巴胺能激动剂溴隐亭)和一种对多巴胺敏感的认知特质(个体的工作记忆能力)的调节。在中脑 - 纹状体连接的一个子集中发现了一种显著的倒U形连接模式,这表明静息态功能磁共振成像数据足以强大到能够识别脑干神经调节性脑网络。