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MRI Assessment of Cerebral Blood Flow in Nonhospitalized Adults Who Self-Isolated Due to COVID-19.
Kim, William S H; Ji, Xiang; Roudaia, Eugenie; Chen, J Jean; Gilboa, Asaf; Sekuler, Allison; Gao, Fuqiang; Lin, Zhongmin; Jegatheesan, Aravinthan; Masellis, Mario; Goubran, Maged; Rabin, Jennifer S; Lam, Benjamin; Cheng, Ivy; Fowler, Robert; Heyn, Chris; Black, Sandra E; Graham, Simon J; MacIntosh, Bradley J.
Afiliación
  • Kim WSH; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • Ji X; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Roudaia E; LC Campbell Cognitive Neurology Research Group, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
  • Chen JJ; Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
  • Gilboa A; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • Sekuler A; Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
  • Gao F; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Lin Z; Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
  • Jegatheesan A; Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
  • Masellis M; Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
  • Goubran M; Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
  • Rabin JS; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada.
  • Lam B; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Cheng I; LC Campbell Cognitive Neurology Research Group, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
  • Fowler R; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • Heyn C; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Black SE; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • Graham SJ; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • MacIntosh BJ; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
J Magn Reson Imaging ; 58(2): 593-602, 2023 08.
Article en En | MEDLINE | ID: mdl-36472248
BACKGROUND: Neurological symptoms associated with coronavirus disease 2019 (COVID-19), such as fatigue and smell/taste changes, persist beyond infection. However, little is known of brain physiology in the post-COVID-19 timeframe. PURPOSE: To determine whether adults who experienced flu-like symptoms due to COVID-19 would exhibit cerebral blood flow (CBF) alterations in the weeks/months beyond infection, relative to controls who experienced flu-like symptoms but tested negative for COVID-19. STUDY TYPE: Prospective observational. POPULATION: A total of 39 adults who previously self-isolated at home due to COVID-19 (41.9 ± 12.6 years of age, 59% female, 116.5 ± 62.2 days since positive diagnosis) and 11 controls who experienced flu-like symptoms but had a negative COVID-19 diagnosis (41.5 ± 13.4 years of age, 55% female, 112.1 ± 59.5 since negative diagnosis). FIELD STRENGTH AND SEQUENCES: A 3.0 T; T1-weighted magnetization-prepared rapid gradient and echo-planar turbo gradient-spin echo arterial spin labeling sequences. ASSESSMENT: Arterial spin labeling was used to estimate CBF. A self-reported questionnaire assessed symptoms, including ongoing fatigue. CBF was compared between COVID-19 and control groups and between those with (n = 11) and without self-reported ongoing fatigue (n = 28) within the COVID-19 group. STATISTICAL TESTS: Between-group and within-group comparisons of CBF were performed in a voxel-wise manner, controlling for age and sex, at a family-wise error rate of 0.05. RESULTS: Relative to controls, the COVID-19 group exhibited significantly decreased CBF in subcortical regions including the thalamus, orbitofrontal cortex, and basal ganglia (maximum cluster size = 6012 voxels and maximum t-statistic = 5.21). Within the COVID-19 group, significant CBF differences in occipital and parietal regions were observed between those with and without self-reported on-going fatigue. DATA CONCLUSION: These cross-sectional data revealed regional CBF decreases in the COVID-19 group, suggesting the relevance of brain physiology in the post-COVID-19 timeframe. This research may help elucidate the heterogeneous symptoms of the post-COVID-19 condition. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 3.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos