Kezhong Zhang

Abnormal Resting-State Neural Activity and Connectivity of Fatigue in Parkinson's Disease

Fatigue is a common burdensome problem in patients with Parkinsons disease (PD), but its pathophysiological mechanisms are poorly understood. This study aimed at investigating the neural substrates of fatigue in patients with PD.

Regional homogeneity alterations differentiate between tremor dominant and postural instability gait difficulty subtypes of Parkinson’s disease

Parkinson’s disease (PD) can be classified into the tremor dominant (TD) subtype and the postural instability gait difficulty (PIGD) subtype, which present with different clinical courses and prognoses. However, the symptom-specific intrinsic neural mechanisms underlying the subtypes of PD still remain elusive. In the current study, we utilized resting-state fMRI (rs-fMRI) combined with the regional homogeneity (ReHo) method to investigate the modulations of neural activity in 13 patients with predominantly PIGD (p-PIGD) and 15 patients with predominantly TD (p-TD) in the resting state. Compared with healthy controls, the p-PIGD and the p-TD groups both displayed ReHo changes in the default mode network (DMN). By contrast, the p-TD group exhibited more ReHo alterations in the cerebellum involved in the cerebello-thalamo-cortical (CTC) loops, whilst the p-PIGD group in extensive cortical and sub-cortical areas, including the frontal, parietal, occipital, temporal, limbic lobes, basal ganglia and thalamus, which are involved in the striatal-thalamo-cortical (STC) loops. Direct comparison between the two groups showed significant ReHo alterations in the primary visual cortex. Our findings underscore the differential involvement of the STC and CTC circuits underlying the two subtypes of PD. Moreover, relatively widespread neural activity abnormality, especially in the motor-related regions as well as the visual network, is apparently a characteristic feature of PIGD symptoms. This study could shed light on the underlying pathophysiology and clinical heterogeneity of PD presentation.

The Neural Basis of Postural Instability Gait Disorder Subtype of Parkinson's Disease: A PET and fMRI Study

The aim of this study is to further uncover the neural basis of postural instability gait disorder (PIGD) subtype of Parkinsons disease.

Alterations in regional homogeneity of resting-state brain activity in fatigue of Parkinson’s disease

Fatigue is a common complaint in patients with Parkinson’s disease (PD). However, the neural bases of fatigue in PD remain uncertain. In this cross-sectional study, our aim was to study the change of the local brain function in PD patients with fatigue. Among 49 patients with PD, 17 of them had fatigue and the remaining 32 patients without fatigue, and 25 age- and gender-matched healthy controls were enrolled. All subjects were evaluated with Fatigue Severity Scale (FSS) and had a resting-state functional magnetic resonance imaging (rs-fMRI) scan. The fMRI images were analyzed using regional homogeneity (ReHo) to study the change of the local brain function. ReHo analysis controlling for gray matter volume, age, gender, and education showed decreased ReHo in the left anterior cingulate cortex (ACC) and the right superior frontal gyrus (dorsolateral part), and increased ReHo in the left postcentral gyrus and the right inferior frontal gyrus (orbital and triangular part), compared PD-F with PD-NF; In PD patients, the regional activity in the left ACC and the right superior frontal gyrus (dorsolateral part) was negatively correlated with the FSS scores, while that in the left postcentral gyrus, the right inferior frontal gyrus (orbital and triangular part) was positively correlated with the FSS scores. This study demonstrates that brain areas including frontal, postcentral and ACC regions indicative of sensory, motor, and cognitive systems are involved in fatigue in PD patients.

Brain metabolic correlates of fatigue in Parkinson's disease: A PET study

ABSTRACT Purpose: The neural bases of fatigue in Parkinsons disease (PD) remain uncertain. We aimed to assess the brain metabolic correlates of fatigue in patients with PD. Patients and methods: Twenty-seven PD patients without clinically relevant depression (17-item Hamilton Depression Rating Scale (HAMD) score ≥ 14), apathy (Apathy Scale (AS) score ≥ 14) and excessive daytime somnolence (Epworth Sleepiness Scale (ESS) score ≥ 10) were evaluated with Fatigue Severity Scale (FSS). Each patient had an F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) scan. Motor symptoms were measured with the Unified Parkinsons Disease Rating Scale motor part. Levodopa equivalent daily dose for each patient was also calculated. The PET images were analyzed using statistical parametric mapping software. We introduced the age, educational level, HAMD scores, AS scores and ESS scores as covariates. Results: High FSS scores were associated with brain hypermetabolism in areas including the right middle temporal gyrus (Brodmann area (BA) 37) and left middle occipital gyrus (BA 19). Increased FSS scores correlated with hypometabolism in regions such as the right precuneus (BA 23), left inferior frontal gyrus (BA 45) and left superior frontal gyrus (orbital part, BA 11). Conclusion: This study demonstrates that brain areas including frontal, temporal and parietal regions indicative of emotion, motivation and cognitive functions are involved in fatigue in PD patients.

Alterations of the amplitude of low-frequency fluctuations in anxiety in Parkinson’s disease

OBJECT Anxiety disorders are very common in Parkinsons disease (PD), but neural mechanisms underlying these symptoms still remain elusive. In the present study, we aim to investigate the neural substrates in anxiety disorders in PD. METHODS The present study comprised 48 PD patients and 19 healthy subjects. According to a Hamilton Anxiety Rating Scale cutoff score of 12, we divided PD patients into PD with anxiety groups (n = 15) and PD without anxiety groups (n = 33). Patients with apparent depressive symptoms and cognitive decline were excluded. All subjects were evaluated for demographic and clinical characteristics and performed 3.0 T MRI scans. The alterations of neural activity were examined utilizing resting-state fMRI (rs-fMRI) combined with the amplitude of low-frequency fluctuations (ALFF) approach. RESULTS Results of the analysis of covariance indicated that PD patients with anxiety displayed increased ALFF mainly in right cerebellar posterior lobe (CPL), bilateral brainstem and right orbitofrontal gyrus (OFG). Subsequently, the Spearman correlation demonstrated negative correlation between ALFF values in right cerebellum_9 and the Hamilton Anxiety Rating Scale scores. CONCLUSION Our findings demonstrated that anxiety disorders in PD were associated with increased activities in anxiety-related brain regions, including OFG, brainstem and CPL, using the ALFF approach.

Disrupted amplitude of low-frequency fluctuations and causal connectivity in Parkinson’s disease with apathy

Apathy is a common non-motor symptom in Parkinsons disease (PD). We aimed to explore its associated neural substrates changes via amplitude of low-frequency fluctuations (ALFF) and granger causality analysis (GCA). Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed in 20 PD patients with apathy (PD-A), 22 PD patients without apathy (PD-NA) and 19 healthy volunteers. GCA, a new method exploring direction from one brain region to another, was based on brain regions showing alterations of neural activity as seeds, which were examined utilizing ALFF approach. The relationships between ALFF or GCA and apathetic symptoms were also assessed. Relative to PD-NA group, PD-A group indicated decreased ALFF in left orbital middle frontal gyrus and bilateral superior frontal gyrus (SFG). Only ALFF values in right SFG were negatively correlated with Apathy Scale (AS) scores. Then GCA with the seed of right SFG showed a positive feedback from right thalamus to ipsilateral SFG, which was positively correlated with AS scores. In conclusion, dysfunction in SFG and a positive feedback from thalamus to ipsilateral SFG contributed to presence of PD-related apathy, providing a new perspective for future studies on apathy in PD.

Cerebral metabolic change in Parkinson’s disease patients with anxiety: A FDG-PET study

OBJECT To detect the cerebral metabolic bases of Parkinsons disease (PD) patients with anxiety. METHODS Totally 28 idiopathic PD patients without depression (17-item Hamilton Depression Rating Scale, HAMD score <14) were enrolled in our study. All subjects were classified into PD with anxiety (PD-A) (n=13) and PD without anxiety (PD-NA) (n=15) by cutoff score of 11 according to Hamilton Anxiety Rating Scale (HAMA). Besides, age- and gender- matched healthy controls (HCs) (n=15) were selected. A resting-state F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) scan was applied to estimate cerebral metabolic activity. All statistical analyses were performed using IBM SPSS Statistics V20.0.0 software, while statistical parametric mapping software (SPM) was used to analyze the FDG-PET images. RESULTS PD-A showed decreased glucose metabolism in the bilateral orbitofrontal cortex (OFC, BA10 and BA11) when compared with PD-NA. Significant decrease of cerebral glucose metabolism in the bilateral OFC, bilateral supplementary motor area (SMA, BA6), bilateral dorsal anterior cingulate cortex (dACC, BA32), right dorsolateral prefrontal cortex (dlPFC, BA9), right ventrolateral prefrontal cortex (vlPFC, BA44), right putamen and left caudatum was detected in PD-A compared with HCs. There was significant reduced glucose metabolism of the bilateral SMA in PD-NA when compared with HCs (uncorrected p<0.005). CONCLUSION The anxiety of PD was associated with the metabolic reductions of PFC and striatal areas. OFC, part of PFC, could be taken as a characteristic feature for anxiety in PD. This metabolic pattern suggested that deficits of prefrontostriatal pathways might affect anxiety mood in PD.

Phosphorylated α-synuclein deposits in sural nerve deriving from Schwann cells: A biomarker for Parkinson's disease

INTRODUCTION Paresthesia is common in Parkinsons disease (PD) patients. We assumed that peripheral nerve might be implicated. This study aimed to investigate whether phosphorylated α-synuclein (pSNCA) pathology occurred in sural nerve fibers and to explore the underlying pathogenesis of paresthesia of lower limbs associated with PD. METHODS Clinical assessments and sural nerve biopsy were performed to evaluate clinical characteristics and the deposition of total α-synuclein (tSNCA) and pSNCA in biopsy pieces using immunochemistry methods on 16 PD patients and 15 controls. In addition, immunofluorescence staining was performed using certain antibodies to characterize the component of sural nerve and to localize the expression of pSNCA. RESULTS Deposition of pSNCA was found in 16/16 PD patients with a high positive percentage of 100% but in 0/15 controls, however, all biopsy pieces showed positive response to tSNCA immunohistological staining in nerve fibers. pSNCA was expressed mainly in Schwann cells but scarcely in axons, demonstrating a novel pattern of pSNCA expression in peripheral nervous system. CONCLUSION Our findings suggest that peripheral somatic sensory nerve is also involved in SNCA pathology in PD. The search for pSNCA in sural nerve might serve as a novel biomarker for early diagnosis of PD and pSNCA in sural nerve may derive from Schwann cells rather than propagate retrograde along the primary sensory neurons from the central nervous system.

Plasma transferrin level correlates with the tremor-dominant phenotype of Parkinson’s disease

Accumulating evidence suggests that iron metabolism may be involved in the pathophysiology of Parkinsons disease (PD), and particularly in motor phenotype. This investigation aimed to examine plasma iron metabolism related indicators in patients with tremor-dominant phenotype of PD and determine less invasive, potential markers from plasma, which could partially reflect pathophysiological mechanisms of the brain. Seventy-six PD patients were recruited and thirty-three of them were classified into the tremor-dominant PD (TD-PD) group and forty-three into the non-tremor dominant PD (NT-PD) group, as determined by clinical characteristics. Plasma iron, ceruloplasmin, transferrin and ferritin levels were measured using Beckman Coulter AU biochemical assays, immune transmission turbidimetry method, scatter turbidimetry method and chemiluminescence method, respectively. Spearmans correlation analysis and multiple linear regression analysis were used for further study. Compared to healthy controls, TD-PD patients exhibited lower plasma iron level (p = 0.006) and higher transferrin level (p < 0.001). Plasma transferrin level was much higher in the TD-PD as compared to NT-PD (p = 0.003). Furthermore, plasma transferrin level was positively correlated with the severity of tremor in TD-PD (r = 0.358, p = 0.041). Multiple linear regression further demonstrated significant associations of plasma transferrin level with severity of tremor in TD-PD (regression coefficient = 0.253, P = 0.016), independently from other confounding factors. The elevated plasma transferrin level, combining with decreased plasma iron level might be given considerable weight in the recognition of parkinsonian tremor.