Neurophysiological characterisation of post-COVID fatigue
- Funded by UK Research and Innovation (UKRI)
- Total publications:3 publications
Grant number: MR/W004798/1
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Key facts
Disease
COVID-19Start & end year
20212022Known Financial Commitments (USD)
$300,873.84Funder
UK Research and Innovation (UKRI)Principal Investigator
Demetris SoteropoulosResearch Location
United KingdomLead Research Institution
Newcastle UniversityResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Disease pathogenesis
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Despite the high severity of the SARS-CoV-2 virus in a substantial minority of those infected, most people only suffer from mild initial symptoms, which typically resolve without the need for hospitalisation. However there is increasing evidence that longer term neurological sequelae can occur even after mild disease, and of these, fatigue and muscle weakness are reported with a high incidence (typically >20%). Although fatigue can be a non-specific core symptom associated with many different conditions, its detrimental impact on quality of life and productivity is well established, particularly if it develops into a chronic symptom. As a novel disease, the mechanisms behind the impact of COVID on neural function remain unclear and this is particularly so for post-COVID fatigue (pCF). Our aim is to use observational and electrophysiological methods to characterise the neural mechanisms behind pCF, particularly with respect to the sensorimotor system and to monitor their progression over time. Even after this pandemic is brought under control, by whatever measures develop over the coming months and years, the longer term sequelae will continue to reap a substantial cost both to the individuals but also to the economic recovery of the nation as a whole. By understanding the neural mechanisms of pCF we can understand the epidemiology better and make more rational decisions for interventions and treatments.