Next Article in Journal
Evaluation of 2D Imaging Schemes for Pulsed Arterial Spin Labeling of the Human Kidney Cortex
Previous Article in Journal
Inhaled Xenon Washout as a Biomarker of Alzheimer’s Disease
Article Menu
Issue 3 (September) cover image

Export Article

Open AccessReview
Diagnostics 2018, 8(3), 42; https://doi.org/10.3390/diagnostics8030042

Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies

1
Aberdeen Biomedical Imaging Centre (ABIC), Lilian Sutton Building, Foresterhill, University of Aberdeen, Aberdeen AB25 2ZN, UK
2
Health Science Building, Foresterhill, University of Aberdeen, Aberdeen AB25 2ZN, UK
*
Author to whom correspondence should be addressed.
Received: 24 April 2018 / Revised: 11 June 2018 / Accepted: 20 June 2018 / Published: 21 June 2018
(This article belongs to the Section Medical Imaging)
Full-Text   |   PDF [868 KB, uploaded 21 June 2018]   |  

Abstract

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. View Full-Text
Keywords: fatigue; magnetic resonance; chronic diseases fatigue; magnetic resonance; chronic diseases
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Goñi, M.; Basu, N.; Murray, A.D.; Waiter, G.D. Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies. Diagnostics 2018, 8, 42.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Diagnostics EISSN 2075-4418 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top