Ma Yunxiao, Wang Li, Li Ting, Zhang Jian, Funahashi Shintaro, Wu Jinglong, Wang Xiu, Zhang Kai, Liu Tiantian, Yan Tianyi
School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
School of Medical Technology, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Brain Struct Funct. 2025 Apr 10;230(3):48. doi: 10.1007/s00429-025-02909-5.
Patients with Parkinson's disease (PD) exhibit structural and functional alterations in both primary and high-order cognitive networks, but the interactions within aberrant functional networks and relevant structural foundation remains unexplored. In this study, the functional networks (FN) and the morphometric similarity networks (MSN) were constructed respectively based on the time-series data and gray matter volume from the MRI data of PD patients and controls. The efficiency, average controllability and k-shell values of the FN and MSN were calculated to evaluate their ability of information transmission and identify structural and functional abnormalities in PD. The abnormal regions were categorized into five types: regions with MSN abnormalities, regions with FN abnormalities, regions with both MSN and FN abnormalities, regions with abnormalities only in MSN but not in FN and regions with abnormalities only in FN but not in MSN. Further, the dynamic causal model (DCM) was used to evaluate the causal relationship of information flow between the identified regions. In the network property analysis of the FN, PD patients showed decreased global efficiency and connectivity in the visual network (VIS) and increased global efficiency in higher-order cognitive networks, including the ventral attention network (VAN), default mode network (DMN), and the limbic network (LIM) but no difference in MSN. In the DCM analysis of the regions, PD patients exhibited increased excitatory transition from the visual areas to the superior frontal gyrus, whereas had disturbed information flow from the visual areas to the insula and the orbitofrontal cortex. These findings suggest changes in structural and functional brain of PD patients, and advance our understanding of PD pathogenesis from different neural dimensions.
帕金森病（PD）患者在初级和高级认知网络中均表现出结构和功能改变，但异常功能网络内的相互作用及其相关结构基础仍未得到探索。在本研究中，分别基于PD患者和对照组MRI数据的时间序列数据和灰质体积构建了功能网络（FN）和形态测量相似性网络（MSN）。计算FN和MSN的效率、平均可控性和k壳值，以评估它们的信息传递能力，并识别PD中的结构和功能异常。将异常区域分为五种类型：MSN异常区域、FN异常区域、MSN和FN均异常区域、仅MSN异常而FN正常区域以及仅FN异常而MSN正常区域。此外，使用动态因果模型（DCM）评估所识别区域之间信息流的因果关系。在FN的网络属性分析中，PD患者视觉网络（VIS）的全局效率和连通性降低，而在包括腹侧注意网络（VAN）、默认模式网络（DMN）和边缘网络（LIM）在内的高级认知网络中全局效率增加，但MSN无差异。在区域的DCM分析中，PD患者表现出从视觉区域到额上回的兴奋性转换增加，而从视觉区域到岛叶和眶额皮质的信息流受到干扰。这些发现表明PD患者大脑的结构和功能发生了变化，并从不同神经维度推进了我们对PD发病机制的理解。
