COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
Covid and CognitionAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Psychology Reception. This talk has been canceled/deleted Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been often characterized as a respiratory disease. However, it is increasingly being understood as an infection that impacts multiple systems, and many patients report neurological symptoms. Indeed, there is accumulating evidence for neural damage in some individuals, with recent studies suggesting loss of gray matter in multiple regions particularly in the left hemisphere. There are a number of mechanisms by which COVID -19 infection may lead to neurological symptoms and structural and functional changes in the brain, and cognitive problems are one of the most commonly reported symptoms in those suffering from Long COVID —the chronic illness following COVID -19 infection that affects between 10–25% of sufferers. However, there is as yet little research testing cognition in Long COVID . In this talk I will explore the literature on cognitive issues in covid so far, and present the first results from the COVID and COGNITION study, which collected detailed information on a sample of 181 individuals who had suffered COVID -19 infection, and 185 who had not. We explored the factors that predicted ongoing symptoms, self-reported cognitive deficits and performance on tests of memory, language and executive function. This talk is part of the Zangwill Club series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
Other listsEmpowered Voices Year King's Occasional Lectures Darwin Lectures and SeminarsOther talksBehavioural insights-based policies for the energy transition Micp from micro to macro: towards bio-inspired geotechnics A class of fractional Ornstein-Uhlenbeck processes mixed with a Gamma distribution Analysis of fractional-order functional differential equations with multiple delays 'Ethno-Science': Guest Speaker – Esther Jean Langdon | gloknos Research Group Machine Learning Force Field for Organic Liquids: EC/EMC Binary Solvent |