Yun Juyoung Jenna, Abulikemu Subati, Jangwanich Kodchakorn Love, Tai Yen F, Haar Shlomi
Department of Brain Sciences, Imperial College London, London, UK.
UK Dementia Research Institute - Care Research and Technology Centre, Imperial College London, London, UK.
NPJ Parkinsons Dis. 2025 May 6;11(1):115. doi: 10.1038/s41531-025-00954-9.
Long-term levodopa use in Parkinson's disease is associated with declining efficacy and motor complications. Understanding its effects on brain reorganisation is vital for optimizing therapy. Using data from Parkinson's Progression Marker Initiative, we investigated levodopa's impact on resting-state functional connectivity within the cortico-basal ganglia-cerebellum system in 29 patients, under drug-naïve and levodopa-medicated conditions. Univariate comparisons of inter-regional connectivity between conditions were conducted, and multivariate combinations of connections within and between networks were assessed. No significant effect of levodopa was found using the univariate seed-based approach. However, the network connectivity pattern between basal ganglia and cerebellum showed robust classification power. Eigenvector Centrality Mapping (ECM) further identified functional hubs, with cerebellar hubs being the only ones within the cortico-basal ganglia-cerebellum system affected by medication. Our study provides further insight into the importance of inter-network functional connectivity in Parkinson's and the impact of levodopa medication, highlighting the often-overlooked role of the cerebellum.
帕金森病患者长期使用左旋多巴会导致疗效下降和运动并发症。了解其对大脑重组的影响对于优化治疗至关重要。利用帕金森病进展标志物计划的数据,我们研究了29例患者在未用药和服用左旋多巴的情况下,左旋多巴对皮质-基底神经节-小脑系统静息态功能连接的影响。对不同状态下区域间连接进行单变量比较,并评估网络内部和网络之间连接的多变量组合。使用基于单变量种子的方法未发现左旋多巴有显著影响。然而,基底神经节和小脑之间的网络连接模式显示出强大的分类能力。特征向量中心性映射(ECM)进一步识别出功能枢纽,小脑枢纽是皮质-基底神经节-小脑系统中唯一受药物影响的枢纽。我们的研究进一步深入了解了帕金森病中网络间功能连接的重要性以及左旋多巴药物治疗的影响,突出了小脑常常被忽视的作用。