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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 T, T-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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http://dx.doi.org/10.3389/fneur.2021.753284 | DOI Listing |
Protein Cell
August 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China.
Cardiovascular disease (CVD) research is hindered by limited comprehensive analyses of plasma proteome across disease subtypes. Here, we systematically investigated the associations between plasma proteins and cardiovascular outcomes in 53,026 UK Biobank participants over a 14-year follow-up. Association analyses identified 3,089 significant associations involving 892 unique protein analytes across 13 CVD outcomes.
View Article and Find Full Text PDFCNS Drugs
September 2025
Global Health Neurology Lab, Sydney, NSW, 2150, Australia.
Acute ischemic stroke (AIS) remains a leading cause of mortality and long-term disability globally, with survivors at high risk of recurrent stroke, cardiovascular events, and post-stroke dementia. Statins, while widely used for their lipid-lowering effects, also possess pleiotropic properties, including anti-inflammatory, endothelial-stabilizing, and neuroprotective actions, which may offer added benefit in AIS management. This article synthesizes emerging evidence on statins' dual mechanisms of action and evaluates their role in reducing recurrence, improving survival, and mitigating cognitive decline.
View Article and Find Full Text PDFBrain Behav
September 2025
Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, China.
Background: Delirium is an acute cognitive disturbance that is linked to increased healthcare costs, extended hospitalization, and a greater incidence of adverse outcomes, including cognitive decline. Despite its clinical importance, existing strategies for predicting and managing delirium remain inadequate. This study, therefore, sought to investigate the potential relationship between cerebrospinal fluid proteins and delirium via Mendelian randomization (MR) and to identify potential therapeutic targets.
View Article and Find Full Text PDFBioinform Adv
August 2025
IBM Research, Yorktown Heights, NY, 10598, United States.
Motivation: Due to the intricate etiology of neurological disorders, finding interpretable associations between multiomics features can be challenging using standard approaches.
Results: We propose COMICAL, a contrastive learning approach using multiomics data to generate associations between genetic markers and brain imaging-derived phenotypes. COMICAL jointly learns omics representations utilizing transformer-based encoders with custom tokenizers.
Brain Commun
August 2025
Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.
Understanding the cognitive trajectory of a neurological disease can provide important insight on underlying mechanisms and disease progression. Cognitive impairment is now well established as beginning many years before the diagnosis of Alzheimer's disease, but pre-diagnostic profiles are unclear for other neurological conditions that may be associated with cognitive impairment. We analysed data from the prospective UK Biobank cohort with study baseline assessment performed between 2006 and 2010 and participants followed until 2021.
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