Department of Geriatrics, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
CNS Neurosci Ther. 2024 Nov;30(11):e70115. doi: 10.1111/cns.70115.
The exact cause of the parkinsonism gait remains uncertain. We first focus on understanding the underlying neurological reasons for these symptoms through the examination of both static functional network connectivity (SFNC) and dynamic functional network connectivity (DFNC).
We recruited 64 postural instability and gait disorder-dominated Parkinson's disease (PIGD-PD) patients, 31 non-PIGD-PD (nPIGD-PD) patients, and 54 healthy controls (HC) from Nanjing Brain Hospital. The GIFT software identified five distinct independent components: the basal ganglia (BG), cerebellum (CB), sensory networks (SMN), default mode network (DMN), and central executive network (CEN). We conducted a comparison between the SFNC and DFNC of the five networks and analyzed their correlations with postural instability and gait disorder (PIGD) symptoms.
Compared with nPIGD-PD patients, the PIGD-PD patients demonstrated reduced connectivity between CEN and DMN while spending less mean dwell time (MDT) in state 4. This is characterized by strong connections. Compared with HC, PIGD-PD patients exhibited enhanced connectivity in the SFNC between CB and CEN, as well as the network between CB and DMN. Patients with PIGD-PD spent more MDT in state 1, which is characterized by few connections, and less MDT in state 4. In state 3, there was an increase in the functional connectivity between the CB and DMN in patients with PIGD-PD. The nPIGD patients showed increased SFNC connectivity between CB and DMN compared to HC. These patients spent more MDT in state 1 and less in state 4. The MDT and fractional windows of state 2 showed a positive link with PIGD scores.
Patients with PIGD-PD exhibit a higher likelihood of experiencing reduced brain connectivity and impaired information processing. The enhanced connection between the cerebellum and DMN networks is considered a type of dynamic compensation.
帕金森步态的确切病因仍不确定。我们首先通过检查静态功能网络连接 (SFNC) 和动态功能网络连接 (DFNC)，来关注理解这些症状的潜在神经原因。
我们招募了 64 名姿势不稳和步态障碍主导型帕金森病（PIGD-PD）患者、31 名非 PIGD-PD（nPIGD-PD）患者和 54 名健康对照者（HC），来自南京脑科医院。GIFT 软件识别了五个不同的独立成分：基底节（BG）、小脑（CB）、感觉网络（SMN）、默认模式网络（DMN）和中央执行网络（CEN）。我们对五个网络的 SFNC 和 DFNC 进行了比较，并分析了它们与姿势不稳和步态障碍（PIGD）症状的相关性。
与 nPIGD-PD 患者相比，PIGD-PD 患者的 CEN 和 DMN 之间的连接减少，同时在状态 4 中花费的平均停留时间（MDT）较少。这一特征表现为强连接。与 HC 相比，PIGD-PD 患者在 SFNC 中表现出 CB 和 CEN 之间以及 CB 和 DMN 之间的连接增强。PIGD-PD 患者在状态 1 中花费更多的 MDT，特征为连接较少，在状态 4 中花费的 MDT 较少。在状态 3 中，PIGD-PD 患者的 CB 和 DMN 之间的功能连接增加。nPIGD 患者与 HC 相比，CB 和 DMN 之间的 SFNC 连接增加。这些患者在状态 1 中花费更多的 MDT，在状态 4 中花费较少的 MDT。状态 2 的 MDT 和分数窗口与 PIGD 评分呈正相关。
PIGD-PD 患者表现出脑连接减少和信息处理受损的可能性更高。小脑和 DMN 网络之间增强的连接被认为是一种动态补偿。
