Global cortical atrophy may be associated with fatigue in patients with parkinson's disease. (September 2020)

• Record Type: Journal Article
• Authors: Lu, Zhi-Hao; Chen, Yang-Kun; Fu, Xiao-Li; Liu, Yong-Lin; Qu, Jian-Feng; Xiao, Wei-Min
• Is Part Of: Journal of clinical neuroscience. Volume 79(2020)
• Page Start: 172
• Page End: 177
• Publication Date: 2020-09
• Subjects: Fatigue -- Global cortical atrophy -- Parkinson's disease -- Depression; Brain -- Surgery -- Periodicals; Neurosciences -- Periodicals; Nervous system -- Surgery -- Periodicals; Brain -- surgery -- Periodicals; Neurosurgical Procedures -- Periodicals; Neurosciences -- Periodicals; Electronic journals; 616.8
• DOI: 10.1016/j.jocn.2020.07.004
• Languages: English
• ISSNs: 0967-5868

Abstract

Highlights: Fatigue is a common non-motor symptom in Parkinson's disease. Depressive symptoms, female sex and global cortical atrophy were significant correlates of fatigue severity scale in Parkinson's disease. Cortical structural changes may be associated with fatigue symptoms in patients with Parkinson's disease. Abstract: Purpose: Fatigue has been recognized as a common non-motor problem in patients with Parkinson's disease (PD). The determination of the clinical correlates of fatigue in PD patients is necessary. The purpose of this study was to explore the risk factors related to the severity of fatigue in PD. Patients and methods: In this study, 141 patients with PD were recruited. All patients were evaluated comprehensively, including motor function, fatigue severity scale (FSS), cognition and psychiatric status. Brain magnetic resonance imaging (MRI) examinations were performed to assess the severity of white matter hyperintensities, and the presence of silent lacunes, medial temporal lobe atrophy (MTLA), and global cortical atrophy (GCA). The crude associations of variables with FSS were examined using Pearson (nor-mally distributed) or Spearman correlation (categorical or non-normal distributed) analyses. Multiple linear regression analysis was performed to find the correlates of fatigue severity in PD patients. Results: In the whole sample, with FSS as the dependent variable in a linear regression model, Hamilton Depression Rating Scale (HAM-D), GCA, female sex were significant correlates of FSS, accounting for 24% of the variance of it. When subjects with depression (HAM-D ≥ 35) were excluded, HAM-D, GCA, female sex remained significant correlates of FSS, accounting for 22% of the variance of FSS. There is no correlation between white matter hyperintensities and FSS. Conclusion: GCA may be an important correlate of the fatigue severity commonly observed in PD patients.