Department of Psychiatry and Behavioral Sciences, Center for Psychedelic and Consciousness Research, Johns Hopkins University School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD, 21224, USA.
Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, USA.
Sci Rep. 2020 Oct 2;10(1):16392. doi: 10.1038/s41598-020-73216-8.
Salvinorin A (SA) is a κ-opioid receptor agonist and atypical dissociative hallucinogen found in Salvia divinorum. Despite the resurgence of hallucinogen studies, the effects of κ-opioid agonists on human brain function are not well-understood. This placebo-controlled, within-subject study used functional magnetic resonance imaging for the first time to explore the effects of inhaled SA on strength, variability, and entropy of functional connectivity (static, dynamic, and entropic functional connectivity, respectively, or sFC, dFC, and eFC). SA tended to decrease within-network sFC but increase between-network sFC, with the most prominent effect being attenuation of the default mode network (DMN) during the first half of a 20-min scan (i.e., during peak effects). SA reduced brainwide dFC but increased brainwide eFC, though only the former effect survived multiple comparison corrections. Finally, using connectome-based classification, most models trained on dFC network interactions could accurately classify the first half of SA scans. In contrast, few models trained on within- or between-network sFC and eFC performed above chance. Notably, models trained on within-DMN sFC and eFC performed better than models trained on other network interactions. This pattern of SA effects on human brain function is strikingly similar to that of other hallucinogens, necessitating studies of direct comparisons.
紫苏醇 A(SA)是一种 κ 型阿片受体激动剂和非典型分离性致幻剂,存在于墨西哥鼠尾草中。尽管致幻剂研究再次兴起,但 κ 型阿片受体激动剂对人类大脑功能的影响仍未得到很好的理解。本项安慰剂对照、自身对照研究首次使用功能磁共振成像来探索吸入 SA 对功能连接的强度、变异性和熵的影响(分别为静息态、动态和熵功能连接,或 sFC、dFC 和 eFC)。SA 倾向于降低网络内 sFC,但增加网络间 sFC,最显著的影响是在 20 分钟扫描的前半段(即效应峰值期间)衰减默认模式网络(DMN)。SA 降低了全脑 dFC,但增加了全脑 eFC,尽管只有前一种效应在多次比较校正后仍然存在。最后,使用连接组学分类,大多数基于 dFC 网络相互作用训练的模型可以准确地对 SA 扫描的前半部分进行分类。相比之下,基于网络内或网络间 sFC 和 eFC 训练的模型很少能达到高于随机的效果。值得注意的是,基于 DMN 内 sFC 和 eFC 训练的模型表现优于基于其他网络相互作用训练的模型。SA 对人类大脑功能的这种影响模式与其他致幻剂非常相似,需要进行直接比较的研究。