Orlando Isabella F, Tan Joshua B, Taylor Natasha L, Medel Vicente, Wainstein Gabriel, Lewis Simon J G, Shine James M, O'Callaghan Claire
Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
Imaging Neurosci (Camb). 2025 May 6;3. doi: 10.1162/imag_a_00564. eCollection 2025.
Neuromodulators regulate large-scale brain network topology to support adaptive behaviour. Disease models offer a unique window into how neuromodulatory systems impact large-scale brain network organisation. Here, we take advantage of Parkinson's disease-with its profound dopaminergic loss and pro-dopaminergic treatment strategies-to inform how dopamine may influence large-scale brain organisation. In 27 people with Parkinson's disease, resting-state scans were obtained on their regular dopamine medication and following overnight withdrawal of medication. Nineteen matched controls provided normative data. Gradients of brain organisation were examined using dimensionality reduction techniques. For single gradients, when individuals were on their dopamine medication, we observed a shift in higher-order networks towards somatomotor anchors. When interrogated in the multi-dimensional gradient space, we found that dopamine medication enhanced separation between functionally discrete sensory and higher-order networks. This increase in dispersion was dependent on an individual's dopamine dose level, and increased dispersion was more apparent in regions enriched with dopamine receptor (DRD2) gene expression. Together, these findings substantiate a role for dopamine in modulating large-scale functional brain organisation. Our findings further confirm that medication targeting the dopamine system may achieve its benefit by restoring aspects of network topology, and suggest new hypotheses about how dopamine medication is influencing large-scale functional brain organisation in Parkinson's disease.
神经调质调节大规模脑网络拓扑结构以支持适应性行为。疾病模型为了解神经调节系统如何影响大规模脑网络组织提供了一个独特的窗口。在这里,我们利用帕金森病——其严重的多巴胺能缺失和促多巴胺能治疗策略——来了解多巴胺如何影响大规模脑组织结构。对27名帕金森病患者在服用常规多巴胺药物时以及停药过夜后进行静息态扫描。19名匹配的对照组提供了标准数据。使用降维技术检查脑组织结构的梯度。对于单个梯度,当个体服用多巴胺药物时,我们观察到高阶网络向躯体运动锚点的转移。在多维梯度空间中进行研究时,我们发现多巴胺药物增强了功能上离散的感觉网络和高阶网络之间的分离。这种离散度的增加取决于个体的多巴胺剂量水平,并且在富含多巴胺受体(DRD2)基因表达的区域中,离散度增加更为明显。这些发现共同证实了多巴胺在调节大规模功能性脑组织结构中的作用。我们的研究结果进一步证实,针对多巴胺系统的药物可能通过恢复网络拓扑结构的某些方面来实现其益处,并提出了关于多巴胺药物如何影响帕金森病患者大规模功能性脑组织结构的新假设。