Publications by authors named "Hanying Gu"
Objective: Levodopa-induced dyskinesia (DYS) adversely affects the quality of life of Parkinson's disease (PD) patients. However, few studies have focused on the relationship between DYS and sleep and electroencephalography (EEG). Our study aimed to establish the objective physiological indicators assessed by polysomnography (PSG) that are associated with DYS in PD patients.
View Article and Find Full Text PDFObjective: Changes in brain structure and neurotransmitter systems are involved in pain in Parkinson's disease (PD), and emotional factors are closely related to pain. Our study applied electroencephalography (EEG) to investigate the role of emotion in PD patients with chronic musculoskeletal pain.
Methods: Forty-two PD patients with chronic musculoskeletal pain and 38 without were enrolled.
Pain is a common annoying non-motor symptom in Parkinson's disease (PD) that causes distress to patients. Treatment for PD pain remains a big challenge, as its underlying mechanisms are elusive. Pituitary adenylate cyclase-activating polypeptide (PACAP) and its receptor PAC1-R play important roles in regulating a variety of pathophysiological processes.
View Article and Find Full Text PDFPain in Parkinson's disease (PD) is increasingly recognized as a major factor associated with poor life quality of PD patients. However, classic therapeutic drugs supplying dopamine have limited therapeutic effects on PD-related pain. This suggests that there is a mechanism outside the dopamine system that causes pain in PD.
View Article and Find Full Text PDFObjective: To determine the function of each type of peripheral nerve fiber and investigate the possible role of levodopa (LD) in peripheral neuropathy (PN) in Parkinson's disease (PD) patients.
Methods: We enrolled 60 patients with idiopathic PD. All PD patients were divided into three groups: levodopa exposure >3 years (LELD), levodopa exposure ≤3 years (SELD) and de novo patients with PD (NOLD).
Article Synopsis
- iRBD is a potential early indicator of neurodegenerative diseases, and researchers are investigating how EEG data during REM sleep and RBD severity ratings can predict the progression of these diseases in patients.
- The study involved a detailed analysis of iRBD patients, comparing those who later developed neurodegenerative diseases (iRBD-C) with those who did not (iRBD-NC), looking at sleep patterns, EEG measurements, and clinical assessments.
- Results showed 33.8% of iRBD patients converted to neurodegenerative conditions, with notable differences in sleep duration, sleep stages, and EEG power, highlighting the potential of specific EEG patterns to predict disease conversion while subjective severity ratings were not significant predictors.
Background: The clinical characteristics of Parkinson's disease (PD) differ between men and women, and late- and early-onset patients, including motor symptoms and some nonmotor symptoms, such as cognition, anxiety, and depression.
Objective: To explore the features of excessive daytime sleepiness (EDS) and night-time sleep quality in PD patients of different sexes and age at onset (AAO).
Methods: Demographic data and clinical characteristics of 586 PD patients were collected.
Background: Many Parkinson disease (PD) patients complain about chronic fatigue and sleep disturbances during the night. The objective of this study is to determine the relationship between fatigue and sleep disturbances by using polysomnography (PSG) in PD patients.
Methods: Two hundred and thirty-two PD patients (152 with mild fatigue and 80 with severe fatigue) were recruited in this study.
Background: Parkinson's disease as a common neurodegenerative disease, has been found to be related to inflammation. So we observed the characteristics of inflammatory indexes in patients with Parkinson's disease and investigated the relationship between inflammatory cytokines and clinical characteristics. Emerging data may reveal novel neuroinflammatory pathways and identify new targets for treatment of Parkinson's disease.
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