Goñi María, Basu Neil, Murray Alison D, Waiter Gordon D
Aberdeen Biomedical Imaging Centre (ABIC), Lilian Sutton Building, Foresterhill, University of Aberdeen, Aberdeen AB25 2ZN, UK.
Health Science Building, Foresterhill, University of Aberdeen, Aberdeen AB25 2ZN, UK.
Diagnostics (Basel). 2018 Jun 21;8(3):42. doi: 10.3390/diagnostics8030042.
While fatigue is prevalent in chronic diseases, the neural mechanisms underlying this symptom remain unknown. Magnetic resonance imaging (MRI) has the potential to enable us to characterize this symptom. The aim of this review was to gather and appraise the current literature on MRI studies of fatigue in chronic diseases. We systematically searched the following databases: MedLine, PsycInfo, Embase and Scopus (inception to April 2016). We selected studies according to a predefined inclusion and exclusion criteria. We assessed the quality of the studies and conducted descriptive statistical analyses. We identified 26 studies of varying design and quality. Structural and functional MRI, alongside diffusion tensor imaging (DTI) and functional connectivity (FC) studies, identified significant brain indicators of fatigue. The most common regions were the frontal lobe, parietal lobe, limbic system and basal ganglia. Longitudinal studies offered more precise and reliable analysis. Brain structures found to be related to fatigue were highly heterogeneous, not only between diseases, but also for different studies of the same disease. Given the different designs, methodologies and variable results, we conclude that there are currently no well-defined brain indicators of fatigue in chronic diseases.
虽然疲劳在慢性疾病中很普遍,但这种症状背后的神经机制仍然未知。磁共振成像(MRI)有潜力使我们能够描述这种症状。本综述的目的是收集和评估目前关于慢性疾病疲劳的MRI研究文献。我们系统地检索了以下数据库:MedLine、PsycInfo、Embase和Scopus(从创刊到2016年4月)。我们根据预定义的纳入和排除标准选择研究。我们评估了研究的质量并进行了描述性统计分析。我们确定了26项设计和质量各异的研究。结构和功能MRI,以及扩散张量成像(DTI)和功能连接(FC)研究,确定了疲劳的重要脑指标。最常见的区域是额叶、顶叶、边缘系统和基底神经节。纵向研究提供了更精确和可靠的分析。发现与疲劳相关的脑结构高度异质,不仅在疾病之间,而且在同一疾病的不同研究中也是如此。鉴于不同的设计、方法和可变的结果,我们得出结论,目前在慢性疾病中尚无明确的疲劳脑指标。