Yang Hucheng, Gu Siyu, Sun Haihua, Zhang Fengmei, Dai Zhenyu, Pan Pinglei
Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, China.
Department of Radiology, Binhai Maternal and Child Health Hospital, Yancheng, China.
Front Aging Neurosci. 2025 Mar 28;17:1549589. doi: 10.3389/fnagi.2025.1549589. eCollection 2025.
There is a huge heterogeneity of magnetic resonance imaging findings in Parkinson's disease (PD) with impulse control disorders (ICDs) studies. Here, we hypothesized that brain regions identified by structural and functional imaging studies of PD with ICDs could be reconciled in a common network.
In this study, an initial systematic literature review was conducted to collect and evaluate whole-brain functional and structural magnetic resonance imaging studies related to PD with ICDs. We subsequently utilized the Human Connectome Project (HCP) dataset ( = 1,093) and a novel functional connectivity network mapping (FCNM) technique to identify a common brain network affected in PD with ICDs.
A total of 19 studies with 25 contrasts, incorporating 345 individuals with PD and ICDs, and 787 individuals with PD without ICDs were included in the analysis. By using the HCP dataset and a novel FCNM technique, we ultimately identified that the aberrant neural networks predominantly involve the default mode network (middle and inferior temporal gyrus, anterior cingulate cortex, angular gyrus) and subcortical network (caudate nucleus).
This study suggests that the heterogeneous neuroimaging findings in PD with ICDs can be attributed to shared abnormalities in the default mode and subcortical networks. These dysfunctions are associated with impaired self-regulation, decision-making, and heightened impulsivity in PD with ICDs. Our findings integrate diverse neuroimaging results from previous studies, providing a clearer understanding of the neurobiological mechanisms underlying PD with ICDs at a network level.
帕金森病（PD）伴冲动控制障碍（ICD）的磁共振成像研究结果存在巨大异质性。在此，我们假设通过对PD伴ICD的结构和功能成像研究确定的脑区可以在一个共同网络中得到协调。
在本研究中，进行了初步的系统文献综述，以收集和评估与PD伴ICD相关的全脑功能和结构磁共振成像研究。随后，我们利用人类连接组计划（HCP）数据集（n = 1,093）和一种新颖的功能连接网络映射（FCNM）技术，来识别在PD伴ICD中受影响的共同脑网络。
分析纳入了总共19项研究，包含25个对比，其中有345例PD伴ICD个体以及787例无ICD的PD个体。通过使用HCP数据集和一种新颖的FCNM技术，我们最终确定异常神经网络主要涉及默认模式网络（颞中回和颞下回、前扣带回皮质、角回）和皮质下网络（尾状核）。
本研究表明，PD伴ICD中异质性的神经影像学结果可归因于默认模式和皮质下网络的共同异常。这些功能障碍与PD伴ICD中自我调节、决策受损以及冲动性增强有关。我们的研究结果整合了先前研究中多样的神经影像学结果，在网络层面上更清晰地理解了PD伴ICD潜在的神经生物学机制。
