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Adapting the UK Biobank Brain Imaging Protocol and Analysis Pipeline for the C-MORE Multi-Organ Study of COVID-19 Survivors.
Griffanti, Ludovica; Raman, Betty; Alfaro-Almagro, Fidel; Filippini, Nicola; Cassar, Mark Philip; Sheerin, Fintan; Okell, Thomas W; Kennedy McConnell, Flora A; Chappell, Michael A; Wang, Chaoyue; Arthofer, Christoph; Lange, Frederik J; Andersson, Jesper; Mackay, Clare E; Tunnicliffe, Elizabeth M; Rowland, Matthew; Neubauer, Stefan; Miller, Karla L; Jezzard, Peter; Smith, Stephen M.
  • Griffanti L; Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom.
  • Raman B; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Alfaro-Almagro F; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom.
  • Filippini N; Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Cassar MP; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Sheerin F; Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Camillo Hospital, Venice, Italy.
  • Okell TW; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom.
  • Kennedy McConnell FA; Department of Radiology, Oxford University Hospitals National Health Service (NHS) Foundation Trust, Oxford, United Kingdom.
  • Chappell MA; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Wang C; Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
  • Arthofer C; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
  • Lange FJ; Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom.
  • Andersson J; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Mackay CE; Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
  • Tunnicliffe EM; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
  • Rowland M; Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom.
  • Neubauer S; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Miller KL; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Jezzard P; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
  • Smith SM; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom.
Front Neurol ; 12: 753284, 2021.
Article in English | MEDLINE | ID: covidwho-1518509
Preprint
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ABSTRACT
SARS-CoV-2 infection has been shown to damage multiple organs, including the brain. Multiorgan MRI can provide further insight on the repercussions of COVID-19 on organ health but requires a balance between richness and quality of data acquisition and total scan duration. We adapted the UK Biobank brain MRI protocol to produce high-quality images while being suitable as part of a post-COVID-19 multiorgan MRI exam. The analysis pipeline, also adapted from UK Biobank, includes new imaging-derived phenotypes (IDPs) designed to assess the possible effects of COVID-19. A first application of the protocol and pipeline was performed in 51 COVID-19 patients post-hospital discharge and 25 controls participating in the Oxford C-MORE study. The protocol acquires high resolution T1, T2-FLAIR, diffusion weighted images, susceptibility weighted images, and arterial spin labelling data in 17 min. The automated imaging pipeline derives 1,575 IDPs, assessing brain anatomy (including olfactory bulb volume and intensity) and tissue perfusion, hyperintensities, diffusivity, and susceptibility. In the C-MORE data, IDPs related to atrophy, small vessel disease and olfactory bulbs were consistent with clinical radiology reports. Our exploratory analysis tentatively revealed some group differences between recovered COVID-19 patients and controls, across severity groups, but not across anosmia groups. Follow-up imaging in the C-MORE study is currently ongoing, and this protocol is now being used in other large-scale studies. The protocol, pipeline code and data are openly available and will further contribute to the understanding of the medium to long-term effects of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Front Neurol Year: 2021 Document Type: Article Affiliation country: Fneur.2021.753284

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Front Neurol Year: 2021 Document Type: Article Affiliation country: Fneur.2021.753284