Cargando…

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

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 fatig...

Descripción completa

Detalles Bibliográficos
Autores principales: Goñi, María, Basu, Neil, Murray, Alison D., Waiter, Gordon D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163988/
https://www.ncbi.nlm.nih.gov/pubmed/29933643
http://dx.doi.org/10.3390/diagnostics8030042
_version_ 1783359493163188224
author Goñi, María
Basu, Neil
Murray, Alison D.
Waiter, Gordon D.
author_facet Goñi, María
Basu, Neil
Murray, Alison D.
Waiter, Gordon D.
author_sort Goñi, María
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6163988
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61639882018-10-11 Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies Goñi, María Basu, Neil Murray, Alison D. Waiter, Gordon D. Diagnostics (Basel) Review 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. MDPI 2018-06-21 /pmc/articles/PMC6163988/ /pubmed/29933643 http://dx.doi.org/10.3390/diagnostics8030042 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Goñi, María
Basu, Neil
Murray, Alison D.
Waiter, Gordon D.
Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title_full Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title_fullStr Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title_full_unstemmed Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title_short Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies
title_sort neural indicators of fatigue in chronic diseases: a systematic review of mri studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163988/
https://www.ncbi.nlm.nih.gov/pubmed/29933643
http://dx.doi.org/10.3390/diagnostics8030042
work_keys_str_mv AT gonimaria neuralindicatorsoffatigueinchronicdiseasesasystematicreviewofmristudies
AT basuneil neuralindicatorsoffatigueinchronicdiseasesasystematicreviewofmristudies
AT murrayalisond neuralindicatorsoffatigueinchronicdiseasesasystematicreviewofmristudies
AT waitergordond neuralindicatorsoffatigueinchronicdiseasesasystematicreviewofmristudies