Objective. To investigate the function of the human glymphatic system (GS) in patients with spontaneous intracerebral haemorrhage (sICH) using diffusion tensor imaging analysis along with the perivascular space (DTI-ALPS). Methods. Twenty patients with sICH and 31 healthy controls (HCs) were recruited for DTI and susceptibility-weighted imaging scanning. The diffusivity along the perivascular spaces, as well as the projection fibres and association fibres, was evaluated separately. The DTI-ALPS index of each subject was also calculated. Two-sample t -tests and paired t -tests were performed to analyse the difference in ALPS scores between patients and HCs, as well as that between the lesion side and contralateral side. Pearson correlation analysis was used to observe the relationship between disease duration and GS function. Results. The DTI-ALPS index on the lesion side was significantly lower than that of the contralateral side in patients with sICH ( p < 0.01 , t = − 5.77 ), and it was also significantly lower than that of the ipsilateral side of HCs ( p < 0.01 , t = − 9.50 ). No significant differences were found in the DTI-ALPS index on the nonlesion side between patients and HCs ( p = 0.96 , t = 0.05 ) or between the left and right cerebral hemispheres of HCs ( p = 0.41 , t = − 0.83 ). The DTI-ALPS index of the lesion side in patients with sICH was significantly correlated with disease duration ( p = 0.018 , r = 0.537 ). Conclusions. The present study confirmed that GS dysfunction on the ipsilateral side of the lesion is impaired in patients with haemorrhagic stroke, indicating that the GS may be a separate system in the left and right cerebral hemispheres. The DTI-ALPS index can reflect disease duration. These findings have significant implications for understanding sICH from a new perspective.

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Parkinson’s disease (PD) has a characteristically unilateral pattern of symptoms at onset and in the early stages; this lateralization is considered a diagnostically important diagnosis feature. We aimed to compare the graph-theoretical properties of whole-brain networks generated by using resting-state functional MRI (rs-fMRI), diffusion tensor imaging (DTI), and the resting-state-informed structural connectome (rsSC) in patients with left-onset PD (LPD), right-onset PD (RPD), and healthy controls (HCs). We recruited 26 patients with PD (13 with LPD and 13 with RPD) as well as 13 age- and sex-matched HCs. Rs-fMRI and DTI were performed in all subjects. Graph-theoretical analysis was used to calculate the local and global efficiency of a whole-brain network generated by rs-fMRI, DTI, and rsSC. Two-sample t-tests and Pearson correlation analysis were conducted. Significantly decreased global and local efficiency were revealed specifically in LPD patients compared with HCs when the rsSC network was used; no significant intergroup difference was found by using rs-fMRI or DTI alone. For rsSC network analysis, multiple network metrics were found to be abnormal in LPD. The degree centrality of the left precuneus was significantly correlated with the Unified Parkinson’s Disease Rating Scale (UPDRS) score and disease duration (p = 0.030, r = 0.599; p = 0.037, r = 0.582). The topological properties of motor-related brain networks can differentiate LPD and RPD. Nodal metrics may serve as important structural features for PD diagnosis and monitoring of disease progression. Collectively, these findings may provide neurobiological insights into the lateralization of PD onset.