SynthesisAJNR. American journal of neuroradiology2021
Modelling the Anatomic Distribution of Neurologic Events in Patients with COVID-19: A Systematic Review of MRI Findings.
Synthesis in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Functional brain alterations in COVID-19 patients using resting-state fMRI: a systematic review.Brain imaging and behavior · 2024Pooled it
- Parallel electrophysiological abnormalities due to COVID-19 infection and to Alzheimer's disease and related dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Pooled it
- Short-term and Long-term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review.JAMA network open · 2021Pooled it
- Trial
- Critical COVID-19 and neurological dysfunction - a direct comparative analysis between SARS-CoV-2 and other infectious pathogens.Revista Brasileira de terapia intensiva · 2022Trial
- Molecular, cellular and network mapping of brain structural deviations in patients with Post-COVID19 syndrome.Brain, behavior, & immunity - health · 2026Article
- Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex.GeroScience · 2025Article
- Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases.PLoS computational biology · 2025Review
- MRI evidence of gray matter loss in COVID-19 patients with cognitive and olfactory disorders.Annals of clinical and translational neurology · 2024Article
- First-episode psychiatric disorder risk from SARS-CoV-2 infection: A clinical analysis with Chinese psychiatric inpatients.Journal of biomedical research · 2024Article
- Associations between COVID-19 and putative markers of neuroinflammation: A diffusion basis spectrum imaging study.Brain, behavior, & immunity - health · 2024Article
- On the merits and potential of advanced neuroimaging techniques in COVID-19: A scoping review.NeuroImage. Clinical · 2024Article
- Associations between COVID-19 and putative markers of neuroinflammation: A diffusion basis spectrum imaging study.bioRxiv : the preprint server for biology · 2023Article
- Reply to: Critical COVID-19 and neurological dysfunction - a direct comparative analysis between SARS-CoV-2 and other infectious pathogens.Critical care science · 2023Article
- Surviving critical COVID-19: How functionality, physical, mental and cognitive outcomes evolve?PloS one · 2023Article
- Markers of limbic system damage following SARS-CoV-2 infection.Brain communications · 2023Article
- Emerging Knowledge of the Neurobiology of COVID-19.The Psychiatric clinics of North America · 2022Review
- Neuropsychological deficits in patients with cognitive complaints after COVID-19.Brain and behavior · 2022Article
- 2 Years into the Pandemic: What Did We Learn About the COVID-19 and Cerebellum?Cerebellum (London, England) · 2022Article
- Molecular and cellular mechanisms involved in tissue-specific metabolic modulation by SARS-CoV-2.Frontiers in microbiology · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeurologic events have been reported in patients with coronavirus disease 2019 (COVID-19). However, a model-based evaluation of the spatial distribution of these events is lacking. PURPOSE: Our aim was to quantitatively evaluate whether a network diffusion model can explain the spread of small neurologic events. DATA SOURCES: The MEDLINE, EMBASE, Scopus, and LitCovid data bases were searched from January 1, 2020, to July 19, 2020. STUDY SELECTION: Thirty-five case series and case studies reported 317 small neurologic events in 123 unique patients with COVID-19. DATA ANALYSIS: Neurologic events were localized to gray or white matter regions of the Illinois Institute of Technology (gray-matter and white matter) Human Brain Atlas using radiologic images and descriptions. The total proportion of events was calculated for each region. A network diffusion model was implemented, and any brain regions showing a significant association ( DATA SYNTHESIS: Within gray matter, neurologic events were widely distributed, with the largest number of events (∼10%) observed in the bilateral superior temporal, precentral, and lateral occipital cortices, respectively. Network diffusion modeling showed a significant association between predicted and measured gray matter events when the spread of pathology was seeded from the bilateral cerebellum ( LIMITATIONS: The risk of bias was not considered because all studies were either case series or case studies.
conclusionsTransconnectome diffusion of pathology via the structural network of the brain may contribute to the spread of neurologic events in patients with COVID-19.
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