Ionescu Tudor M, Amend Mario, Hafiz Rakibul, Maurer Andreas, Biswal Bharat, Wehrl Hans F, Herfert Kristina
Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, United States.
Elife. 2025 May 15;13:RP97864. doi: 10.7554/eLife.97864.
Understanding the complex workings of the brain is one of the most significant challenges in neuroscience, providing insights into normal brain function, neurological diseases, and the effects of potential therapeutics. A major challenge in this field lies in the limitations of traditional brain imaging techniques, which often capture only fragments of the complex puzzle of brain function. Our research employs a novel approach termed 'molecular connectivity' (MC), which combines the strengths of various imaging methods to provide a comprehensive view of how specific molecules, such as the serotonin transporter, interact across different brain regions and influence brain function. This innovative technique bridges the gap between functional magnetic resonance imaging (fMRI), known for its ability to monitor brain activity by tracking blood flow, and positron emission tomography (PET), which visualizes specific molecular changes. By integrating these methods, we can better understand how drugs influence brain function. Our study focuses on the application of dynamic [C]DASB PET scans to map the distribution of serotonin transporters, key players in regulating mood and emotions, and examines how these transporters are altered following exposure to methylenedioxymethamphetamine (MDMA), which is commonly known as ecstasy. Through a detailed comparison of MC with traditional measures of brain connectivity, we reveal significant patterns that closely align with physiological changes. Our results revealed clear changes in molecular connectivity after a single dose of MDMA, establishing a direct link between the effects of drugs on serotonin transporter occupancy and changes in the functional brain network. This work offers a novel methodology for the in-depth study of brain function at the molecular level and opens new pathways for understanding how drugs modulate brain activity.
理解大脑的复杂运作是神经科学中最重大的挑战之一,它能为正常脑功能、神经疾病以及潜在治疗方法的效果提供见解。该领域的一个主要挑战在于传统脑成像技术的局限性,这些技术往往只能捕捉到脑功能复杂谜题的片段。我们的研究采用了一种名为“分子连接性”(MC)的新方法,它结合了各种成像方法的优势,以全面了解血清素转运体等特定分子如何在不同脑区相互作用并影响脑功能。这种创新技术弥合了以通过追踪血流监测脑活动能力著称的功能磁共振成像(fMRI)与可视化特定分子变化的正电子发射断层扫描(PET)之间的差距。通过整合这些方法,我们能够更好地理解药物如何影响脑功能。我们的研究聚焦于应用动态[C]DASB PET扫描来绘制血清素转运体的分布图谱,血清素转运体是调节情绪的关键因素,并研究在接触俗称摇头丸的亚甲基二氧甲基苯丙胺(MDMA)后这些转运体会如何改变。通过将MC与传统脑连接性测量方法进行详细比较,我们揭示了与生理变化密切相关的显著模式。我们的结果显示,单次服用MDMA后分子连接性有明显变化,确立了药物对血清素转运体占据情况的影响与功能性脑网络变化之间的直接联系。这项工作为在分子水平深入研究脑功能提供了一种新方法,并为理解药物如何调节脑活动开辟了新途径。