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Your search keyword '"Guo, Jifeng"' showing total 16 results
Start Over Author "Guo, Jifeng" Journal frontiers in aging neuroscience
16 results on '"Guo, Jifeng"'

1. Clinical features of progressive supranuclear palsy

Author

Wen, Yafei, primary, Yang, Qijie, additional, Jiao, Bin, additional, Zhang, Weiwei, additional, Lin, Jingyi, additional, Zhu, Yuan, additional, Xu, Qian, additional, Zhou, Hui, additional, Weng, Ling, additional, Liao, Xinxin, additional, Zhou, Yafang, additional, Wang, Junling, additional, Guo, Jifeng, additional, Yan, Xinxiang, additional, Jiang, Hong, additional, Tang, Beisha, additional, and Shen, Lu, additional

Published
2023
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2. Evaluation of the role of FMR1 CGG repeat allele in Parkinson’s disease from the Chinese population

Author

Chen, Juan, primary, Zhao, Yuwen, additional, Zhou, Xun, additional, Xue, Jin, additional, Xiao, Qiao, additional, Pan, Hongxu, additional, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Li, Jian, additional, Zhu, Liping, additional, Zhou, Zhou, additional, Yang, Yang, additional, Xu, Qian, additional, Sun, Qiying, additional, Yan, Xinxiang, additional, Tan, Jieqiong, additional, Li, Jinchen, additional, Guo, Jifeng, additional, Duan, Ranhui, additional, Tang, Beisha, additional, Yu, Qiao, additional, and Liu, Zhenhua, additional

Published
2023
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3. Genetic analysis of dystonia-related genes in Parkinson's disease

Author

Wang, Yige, primary, Zhao, Yuwen, additional, Pan, Hongxu, additional, Zeng, Qian, additional, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Zhou, Zhou, additional, Xu, Qian, additional, Sun, Qiying, additional, Tan, Jieqiong, additional, Yan, Xinxiang, additional, Li, Jinchen, additional, Guo, Jifeng, additional, Tang, Beisha, additional, Yu, Qiao, additional, and Liu, Zhenhua, additional

Published
2023
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7. Subtyping of early-onset Parkinson’s disease using cluster analysis: A large cohort study

Author

Zhou, Zhou, primary, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Zhao, Yuwen, additional, Pan, Hongxu, additional, Wu, Juan, additional, Xu, Qian, additional, Chen, Yase, additional, Sun, Qiying, additional, Wu, Xinyin, additional, Zhu, Jianping, additional, Wu, Xuehong, additional, Li, Jianhua, additional, Yan, Xinxiang, additional, Guo, Jifeng, additional, Tang, Beisha, additional, Lei, Lifang, additional, and Liu, Zhenhua, additional

Published
2022
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8. The effect of regional white matter hyperintensities on essential tremor subtypes and severity

Author

He, Runcheng, Qin, Yan, Zhou, Xun, Liu, Zhenhua, Xu, Qian, Guo, Jifeng, Yan, Xinxiang, Tang, Beisha, Zeng, Sheng, and Sun, Qiying

Subjects
Aging, Cognitive Neuroscience
Abstract

ObjectivesTo investigate the effect of regional white matter hyperintensities (WMHs) on Essential tremor (ET) subtypes and to explore the association between WMHs load and the severity of motor and non-motor symptoms in patients with ET.MethodsA cohort of 176 patients with ET (including 86 patients with pure ET and 90 patients with ET plus) and 91 normal controls (NC) was consecutively recruited. Demographic, clinical, and imaging characteristics were compared between individuals with pure ET, ET plus, and NC. The cross-sectional association among regional WMHs and the severity of tremor and non-motor symptoms were assessed within each group.ResultsCompared with the pure ET subgroup, the ET plus subgroup demonstrated higher TETRAS scores, NMSS scores, and lower MMSE scores (all P < 0.05). Periventricular and lobar WMHs' loads of pure ET subgroup intermediated between NC subjects and ET plus subgroup. WMHs in the frontal horn independently increased the odds of ET (OR = 1.784, P < 0.001). The age (P = 0.021), WMHs in the frontal lobe (P = 0.014), and WMHs in the occipital lobe (P = 0.020) showed a significant impact on TETRAS part II scores in the ET plus subgroup. However, only the disease duration was positively associated with TETRAS part II scores in patients with pure ET (P = 0.028). In terms of non-motor symptoms, NMSS scores of total patients with ET were associated with disease duration (P = 0.029), TETRAS part I scores (P = 0.017), and WMH scores in the frontal lobe (P = 0.033). MMSE scores were associated with age (P = 0.027), body mass index (P = 0.006), education level (P < 0.001), and WMHs in the body of the lateral ventricle (P = 0.005).ConclusionOur results indicated that the WMHs in the frontal horn could lead to an increased risk of developing ET. WMHs may be used to differentiate pure ET and ET plus. Furthermore, WMHs in the frontal and occipital lobes are strong predictors of worse tremor severity in the ET plus subgroup. Regional WMHs are associated with cognitive impairment in patients with ET.

Published
2022
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9. Constructing prediction models for excessive daytime sleepiness by nomogram and machine learning: A large Chinese multicenter cohort study

Author

Deng, Penghui, primary, Xu, Kun, additional, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Xu, Qian, additional, Sun, Qiying, additional, Li, Yan, additional, Yu, Haiqing, additional, Wu, Xinyin, additional, Yan, Xinxiang, additional, Guo, Jifeng, additional, Tang, Beisha, additional, and Liu, Zhenhua, additional

Published
2022
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10. Genetic Analysis of Six Transmembrane Protein Family Genes in Parkinson’s Disease in a Large Chinese Cohort

Author

Zhao, Yuwen, primary, Zhang, Kailin, additional, Pan, Hongxu, additional, Wang, Yige, additional, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Xu, Qian, additional, Sun, Qiying, additional, Tan, Jieqiong, additional, Yan, Xinxiang, additional, Li, Jinchen, additional, Guo, Jifeng, additional, Tang, Beisha, additional, and Liu, Zhenhua, additional

Published
2022
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13. Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study

Author

Zhou, Zhou, primary, Zhou, Xiaoting, additional, Zhou, Xiaoxia, additional, Xiang, Yaqin, additional, Zhu, Liping, additional, Qin, Lixia, additional, Wang, Yige, additional, Pan, Hongxu, additional, Zhao, Yuwen, additional, Sun, Qiying, additional, Xu, Qian, additional, Wu, Xinyin, additional, Yan, Xinxiang, additional, Guo, Jifeng, additional, Tang, Beisha, additional, and Liu, Zhenhua, additional

Published
2021
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16. Characteristics of fatigue in Parkinson's disease: A longitudinal cohort study.

Author

Zhou X, Xiang Y, Song T, Zhao Y, Pan H, Xu Q, Chen Y, Sun Q, Wu X, Yan X, Guo J, Tang B, Lei L, and Liu Z

Abstract

Objective: To assess the prevalence, evolution, clinical characteristics, correlates and predictors of fatigue as well as to investigate the influence of comorbid fatigue on the longitudinal changes in motor and non-motor symptoms over a 2-year longitudinal follow-up period in a large cohort of patients with Parkinson's disease (PD)., Materials and Methods: A total of 2,100 PD patients were enrolled from the Parkinson's Disease & Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC), and their motor and non-motor symptoms were assessed biennially using comprehensive scales, including the 16-item Parkinson Fatigue Scale (PFS-16). Each PD patient was categorized as PD with or without fatigue on the basis of a cut-off mean PFS-16 score of 3.3., Results: The prevalence of fatigue in our cohort was 36.8%. Compared to PD patients without fatigue, PD patients with fatigue were more likely to be older, have a longer disease duration, and higher baseline levodopa equivalent daily dose (all p  < 0.05). Moreover, PD patients with fatigue showed more severe motor and non-motor phenotypes than those without fatigue. Overall, high total Unified Parkinson's Disease Rating Scale (UPDRS) score (odds ratio [OR] = 1.016, 95% confidence interval [CI]: 1.009-1.024), Non-Motor Symptoms Scale score (OR = 1.022, 95% CI: 1.015-1.029), postural instability and gait difficulty (PIGD) subtype (OR = 1.586, 95% CI: 1.211-2.079), presence of excessive daytime sleepiness (EDS; OR = 1.343, 95% CI: 1.083-1.666), and wearing-off (OR = 1.282, 95% CI: 1.023-1.607) were significantly associated with fatigue in PD patients (all p  < 0.05). High total UPDRS score at baseline (OR = 1.014, 95% CI: 1.002-1.027, p  = 0.028) increased the risk of developing fatigue during follow-up. Although significant, the odds ratios were low and confidence intervals were narrow. Analysis of disease progression showed significant group differences in motor and non-motor symptoms. In comparison with the never-fatigue group, the persistent-fatigue group showed significantly greater progression in motor, autonomic dysfunction, sleep, depression and cognitive symptoms (all p  < 0.05)., Conclusion: Increased disease severity, presence of the PIGD subtype, EDS, and wearing-off were associated with fatigue in PD patients. Significant subgroup-level differences were observed in the progression of motor and non-motor symptoms across different fatigue subgroups of PD patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhou, Xiang, Song, Zhao, Pan, Xu, Chen, Sun, Wu, Yan, Guo, Tang, Lei, Liu, for Parkinson's Disease & Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC).)

Published
2023
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