ReviewThe British journal of radiology2025
Neuroimaging biomarkers of post-acute sequelae of Coronavirus Disease 2019.
Review in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Investigation of BOLD signal intensities in long COVID patients using 7T functional MRI.Brain, behavior, & immunity - health · 2026Article
- Altered putamen connectivity in patients with neurological post-COVID condition.Brain communications · 2025Article
- Persistent Cerebral 18-FDG PET Changes in Patients With Long COVID Presenting With Fatigue and Post Exertional Malaise.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
COVID-19, caused by SARS-CoV-2, has led to the condition known as Long COVID or post-acute sequelae of COVID-19 (PASC), where individuals experience persistent debilitating symptoms long after the initial infection. We provide here a comprehensive review of findings in the central nervous system associated with PASC. Neuroimaging has been instrumental in identifying brain changes associated with PASC. Structural MRI studies consistently reveal grey matter volume reductions in the frontal and temporal lobes and white matter hyperintensities, particularly in the periventricular regions. Studies especially found these changes to correlate strongly with cognitive deficits. Diffusion tensor imaging has shown increased tissue damage and oedema in the brain's white matter tracts, particularly in the sagittal stratum and thalamic radiation. Resting-state functional MRI studies indicate altered brain connectivity in PASC patients, especially in those with post-traumatic stress symptoms. Reduced connectivity within and between critical networks, such as the default mode network and the executive control network, has been observed. These changes correlate with cognitive impairments, such as attention and memory deficits. Dynamic functional connectivity analyses further reveal that PASC patients spend less time in states with rich inter-regional connectivity, and transitions between connectivity states were linked to post-traumatic stress disorder symptoms. Positron emission tomography scans have shown hypometabolism in the frontal and temporal lobes, particularly in regions associated with memory and executive functions. Hypometabolism in the hippocampus and thalamus is linked to symptoms like anosmia and fatigue. Despite the heterogeneity in clinical presentations and diagnostic criteria, these neuroimaging findings underscore the significant impact of COVID-19 on brain structure and function. Continued research using advanced imaging techniques is essential for a deeper understanding of PASC's neurological effects. This will aid in developing targeted interventions and improving outcomes for those affected by Long COVID and inform studies investigating downstream effects of viral infections on the brain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.