المؤلفون: Benedict D. Michael, Cordelia Dunai, Edward J. Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A. Boardman, Jordan J. Clark, Parul Sharma, Krishanthi Subramaniam, Greta K. Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A. Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N. Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P. Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J. Coles, Nathalie Kingston, John R. Bradley, Patrick F. Chinnery, Jonathan Cavanagh, Sarosh R. Irani, Angela Vincent, J. Kenneth Baillie, Peter J. Openshaw, Malcolm G. Semple, ISARIC4C Investigators, COVID-CNS Consortium, Leonie S. Taams, David K. Menon

المصدر: Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)

مصطلحات موضوعية: Science

الوصف: Abstract To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1–11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common in COVID-19 than controls and some (including against MYL7, UCH-L1, and GRIN3B) are more frequent with altered consciousness. Additionally, convalescent participants with neurological complications show elevated GFAP and NfL, unrelated to attenuated systemic inflammatory mediators and to autoantibody responses. Overall, neurological complications of COVID-19 are associated with evidence of neuroglial injury in both acute and late disease and these correlate with dysregulated innate and adaptive immune responses acutely.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2041-1723Test

الوصول الحر: https://doaj.org/article/b91096b3ed5a4dec92a987b9259afe0aTest

المؤلفون: Benedict D. Michael, Cordelia Dunai, Edward J. Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A. Boardman, Jordan J. Clark, Parul Sharma, Krishanthi Subramaniam, Greta K. Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A. Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N. Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P. Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J. Coles, Nathalie Kingston, John R. Bradley, Patrick F. Chinnery, Jonathan Cavanagh, Sarosh R. Irani, Angela Vincent, J. Kenneth Baillie, Peter J. Openshaw, Malcolm G. Semple, ISARIC4C Investigators, COVID-CNS Consortium, Leonie S. Taams, David K. Menon

المصدر: Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)

مصطلحات موضوعية: Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2041-1723Test

الوصول الحر: https://doaj.org/article/153c2bbad3eb4cb580f29e9a39f7205bTest

المؤلفون: Ali M. Alam, Jian P. K. Chen, Greta K. Wood, Bethany Facer, Maneesh Bhojak, Kumar Das, Sylviane Defres, Anthony Marson, Julia Granerod, David Brown, Rhys H. Thomas, Simon S. Keller, Tom Solomon, Benedict D. Michael

المصدر: BMC Neurology, Vol 22, Iss 1, Pp 1-1 (2022)

مصطلحات موضوعية: Neurology. Diseases of the nervous system, RC346-429

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1471-2377Test

الوصول الحر: https://doaj.org/article/a01820dd23a34830afccb28c80c082d2Test

المؤلفون: Eugene Duff, Fernando Zelaya, Fidel Alfaro Almagro, Karla L. Miller, Naomi Martin, Thomas E. Nichols, Bernd Taschler, Ludovica Griffanti, Christoph Arthofer, Gwenaëlle Douaud, Chaoyue Wang, Thomas W. Okell, Richard A. I. Bethlehem, Klaus Eickel, Matthias Günther, David K. Menon, Guy Williams, Bethany Facer, David J. Lythgoe, Flavio Dell’Acqua, Greta K. Wood, Steven C. R. Williams, Gavin Houston, Simon S. Keller, Catherine Holden, Monika Hartmann, Lily George, Gerome Breen, Benedict D. Michael, Peter Jezzard, Stephen M. Smith, Edward T. Bullmore

المصدر: PLoS ONE, Vol 17, Iss 9 (2022)

مصطلحات موضوعية: Medicine, Science

الوصف: Introduction Magnetic resonance imaging (MRI) of the brain could be a key diagnostic and research tool for understanding the neuropsychiatric complications of COVID-19. For maximum impact, multi-modal MRI protocols will be needed to measure the effects of SARS-CoV-2 infection on the brain by diverse potentially pathogenic mechanisms, and with high reliability across multiple sites and scanner manufacturers. Here we describe the development of such a protocol, based upon the UK Biobank, and its validation with a travelling heads study. A multi-modal brain MRI protocol comprising sequences for T1-weighted MRI, T2-FLAIR, diffusion MRI (dMRI), resting-state functional MRI (fMRI), susceptibility-weighted imaging (swMRI), and arterial spin labelling (ASL), was defined in close approximation to prior UK Biobank (UKB) and C-MORE protocols for Siemens 3T systems. We iteratively defined a comparable set of sequences for General Electric (GE) 3T systems. To assess multi-site feasibility and between-site variability of this protocol, N = 8 healthy participants were each scanned at 4 UK sites: 3 using Siemens PRISMA scanners (Cambridge, Liverpool, Oxford) and 1 using a GE scanner (King’s College London). Over 2,000 Imaging Derived Phenotypes (IDPs), measuring both data quality and regional image properties of interest, were automatically estimated by customised UKB image processing pipelines (S2 File). Components of variance and intra-class correlations (ICCs) were estimated for each IDP by linear mixed effects models and benchmarked by comparison to repeated measurements of the same IDPs from UKB participants. Intra-class correlations for many IDPs indicated good-to-excellent between-site reliability. Considering only data from the Siemens sites, between-site reliability generally matched the high levels of test-retest reliability of the same IDPs estimated in repeated, within-site, within-subject scans from UK Biobank. Inclusion of the GE site resulted in good-to-excellent reliability for many IDPs, although there were significant between-site differences in mean and scaling, and reduced ICCs, for some classes of IDP, especially T1 contrast and some dMRI-derived measures. We also identified high reliability of quantitative susceptibility mapping (QSM) IDPs derived from swMRI images, multi-network ICA-based IDPs from resting-state fMRI, and olfactory bulb structure IDPs from T1, T2-FLAIR and dMRI data. Conclusion These results give confidence that large, multi-site MRI datasets can be collected reliably at different sites across the diverse range of MRI modalities and IDPs that could be mechanistically informative in COVID brain research. We discuss limitations of the study and strategies for further harmonisation of data collected from sites using scanners supplied by different manufacturers. These acquisition and analysis protocols are now in use for MRI assessments of post-COVID patients (N = 700) as part of the ongoing COVID-CNS study.

وصف الملف: electronic resource

العلاقة: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522299/?tool=EBITest; https://doaj.org/toc/1932-6203Test

الوصول الحر: https://doaj.org/article/05df93619e04407eb129b659af9a045cTest

المؤلفون: Girvan Burnside, Sarosh R Irani, Tom Solomon, Angela Vincent, Anthony Guy Marson, Benedict D Michael, Cordelia Dunai, Ava Easton, Rhys Huw Thomas, Sylviane Defres, Mark A Ellul, Kukatharmini Tharmaratnam, David W G Brown, Greta K Wood, Ali M Alam, Roshan Babar, Harriet Van Den Tooren, Hannah Castell, Sarah Boardman, Ceryce Collie, Bethany Facer, Julia Granerod

المصدر: BMJ Neurology Open, Vol 4, Iss 2 (2022)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Objective In patients with encephalitis, the development of acute symptomatic seizures is highly variable, but when present is associated with a worse outcome. We aimed to determine the factors associated with seizures in encephalitis and develop a clinical prediction model.Methods We analysed 203 patients from 24 English hospitals (2005–2008) (Cohort 1). Outcome measures were seizures prior to and during admission, inpatient seizures and status epilepticus. A binary logistic regression risk model was converted to a clinical score and independently validated on an additional 233 patients from 31 UK hospitals (2013–2016) (Cohort 2).Results In Cohort 1, 121 (60%) patients had a seizure including 103 (51%) with inpatient seizures. Admission Glasgow Coma Scale (GCS) ≤8/15 was predictive of subsequent inpatient seizures (OR (95% CI) 5.55 (2.10 to 14.64), p

وصف الملف: electronic resource

العلاقة: https://neurologyopen.bmj.com/content/4/2/e000323.fullTest; https://doaj.org/toc/2632-6140Test

الوصول الحر: https://doaj.org/article/1a81c45c8cd94ef384541a9bf0563378Test

المؤلفون: Bernadeth Lyn C. Piamonte, Ava Easton, Greta K. Wood, Nicholas W.S. Davies, Julia Granerod, Benedict D. Michael, Tom Solomon, Kiran T. Thakur

المصدر: Current Opinion in Neurology. 36:185-197

مصطلحات موضوعية: Neurology, Neurology (clinical)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a0ed90578fed47462b7c230067c51bd0Test
https://doi.org/10.1097/wco.0000000000001158Test

المؤلفون: Ali M. Alam, Jian P. K. Chen, Greta K. Wood, Bethany Facer, Maneesh Bhojak, Kumar Das, Sylviane Defres, Anthony Marson, Julia Granerod, David Brown, Rhys H. Thomas, Simon S. Keller, Tom Solomon, Benedict D. Michael

المصدر: BMC Neurology. 22

مصطلحات موضوعية: Neurology (clinical), General Medicine

الوصف: Background Seizures can occur unpredictably in patients with acute encephalitis syndrome (AES), and many suffer from poor long-term neurological sequelae. Establishing factors associated with acute seizures risk and poor outcomes could support clinical care. We aimed to conduct regional and volumetric analysis of cerebral oedema on magnetic resonance imaging (MRI) in patients with AES. We assessed the relationship of brain oedema with acute seizure activity and long-term neurological outcome. Methods In a multi-centre cohort study, adults and children presenting with an AES were recruited in the UK. The clinical and brain MRI data were retrospectively reviewed. The outcomes variables were inpatient acute seizure activity and neurological disability at six-months post-discharge. A poor outcome was defined as a Glasgow outcome score (GOS) of 1–3. We quantified regional brain oedema on MRI through stereological examination of T2-weighted images using established methodology by independent and blinded assessors. Clinical and neuroimaging variables were analysed by multivariate logistic regression to assess for correlation with acute seizure activity and outcome. Results The study cohort comprised 69 patients (mean age 31.8 years; 53.6% female), of whom 41 (59.4%) had acute seizures as inpatients. A higher Glasgow coma scale (GCS) score on admission was a negative predictor of seizures (OR 0.61 [0.46–0.83], p = 0.001). Even correcting for GCS on admission, the presence of cortical oedema was a significant risk factor for acute seizure activity (OR 5.48 [1.62–18.51], p = 0.006) and greater volume of cerebral oedema in these cortical structures increased the risk of acute seizures (OR 1.90 [1.12–3.21], p = 0.017). At six-month post-discharge, 21 (30.4%) had a poor neurological outcome. Herpes simplex virus encephalitis was associated with higher risk of poor outcomes in univariate analysis (OR 3.92 [1.08–14.20], p = 0.038). When controlling for aetiology, increased volume of cerebral oedema was an independent risk factor for adverse neurological outcome at 6 months (OR 1.73 [1.06–2.83], p = 0.027). Conclusions Both the presence and degree of cerebral oedema on MRIs of patients with AES may help identify patients at risk of acute seizure activity and subsequent long-term morbidity.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ab2ab3c7aa34c972c2710c17571ff814Test
https://doi.org/10.1186/s12883-022-02926-5Test

المؤلفون: Fan Kee Hoo, Kavitha Kolappa, Alla Guekht, Sherry H.-Y. Chou, Ettore Beghi, K. Prasad, Shubham Misra, Greta K. Wood, Benedict D Michael, Tarun Dua, Divya M. Radhakrishnan, Kiran T. Thakur, Erich Schmutzhard, Tom Solomon, Amir Kheradmand, Andrea Sylvia Winkler, Animesh Das, Amit Kumar, Ericka L. Fink, Ayush Agarwal, Achal Kumar Srivastava, Carlos A. Pardo, Manya Prasad

المصدر: NEUROLOGY

مصطلحات موضوعية: myalgia, Pediatrics, medicine.medical_specialty, business.industry, Odds ratio, Cochrane Library, medicine.disease, Confidence interval, Meta-analysis, Medicine, Delirium, Observational study, Neurology (clinical), medicine.symptom, business, Stroke

الوصف: Background and objectivesOne year after the onset of the coronavirus disease 2019 (COVID-19) pandemic, we aimed to summarize the frequency of neurologic manifestations reported in patients with COVID-19 and to investigate the association of these manifestations with disease severity and mortality.MethodsWe searched PubMed, Medline, Cochrane library, ClinicalTrials.gov, and EMBASE for studies from December 31, 2019, to December 15, 2020, enrolling consecutive patients with COVID-19 presenting with neurologic manifestations. Risk of bias was examined with the Joanna Briggs Institute scale. A random-effects meta-analysis was performed, and pooled prevalence and 95% confidence intervals (CIs) were calculated for neurologic manifestations. Odds ratio (ORs) and 95% CIs were calculated to determine the association of neurologic manifestations with disease severity and mortality. Presence of heterogeneity was assessed with I2, meta-regression, and subgroup analyses. Statistical analyses were conducted in R version 3.6.2.ResultsOf 2,455 citations, 350 studies were included in this review, providing data on 145,721 patients with COVID-19, 89% of whom were hospitalized. Forty-one neurologic manifestations (24 symptoms and 17 diagnoses) were identified. Pooled prevalence of the most common neurologic symptoms included fatigue (32%), myalgia (20%), taste impairment (21%), smell impairment (19%), and headache (13%). A low risk of bias was observed in 85% of studies; studies with higher risk of bias yielded higher prevalence estimates. Stroke was the most common neurologic diagnosis (pooled prevalence 2%). In patients with COVID-19 ≥60 years of age, the pooled prevalence of acute confusion/delirium was 34%, and the presence of any neurologic manifestations in this age group was associated with mortality (OR 1.80, 95% CI 1.11–2.91).DiscussionUp to one-third of patients with COVID-19 analyzed in this review experienced at least 1 neurologic manifestation. One in 50 patients experienced stroke. In those >60 years of age, more than one-third had acute confusion/delirium; the presence of neurologic manifestations in this group was associated with nearly a doubling of mortality. Results must be interpreted with the limitations of observational studies and associated bias in mind.Systematic Review RegistrationPROSPERO CRD42020181867.

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffafa1ece504cf5d3733197fb0b0636bTest
https://doi.org/10.1212/wnl.0000000000012930Test

المؤلفون: Greta K Wood, Roshan Babar, Mark A Ellul, Rhys Huw Thomas, Harriet Van Den Tooren, Ava Easton, Kukatharmini Tharmaratnam, Girvan Burnside, Ali M Alam, Hannah Castell, Sarah Boardman, Ceryce Collie, Bethany Facer, Cordelia Dunai, Sylviane Defres, Julia Granerod, David W G Brown, Angela Vincent, Anthony Guy Marson, Sarosh R Irani, Tom Solomon, Benedict D Michael

المصدر: BMJ Neurology Open

مصطلحات موضوعية: Neurology, Neurology (clinical)

الوصف: ObjectiveIn patients with encephalitis, the development of acute symptomatic seizures is highly variable, but when present is associated with a worse outcome. We aimed to determine the factors associated with seizures in encephalitis and develop a clinical prediction model.MethodsWe analysed 203 patients from 24 English hospitals (2005–2008) (Cohort 1). Outcome measures were seizures prior to and during admission, inpatient seizures and status epilepticus. A binary logistic regression risk model was converted to a clinical score and independently validated on an additional 233 patients from 31 UK hospitals (2013–2016) (Cohort 2).ResultsIn Cohort 1, 121 (60%) patients had a seizure including 103 (51%) with inpatient seizures. Admission Glasgow Coma Scale (GCS) ≤8/15 was predictive of subsequent inpatient seizures (OR (95% CI) 5.55 (2.10 to 14.64), pA clinical model of overall seizure risk identified admission GCS along with aetiology (autoantibody-associated OR 11.99 (95% CI 2.09 to 68.86) and Herpes simplex virus 3.58 (95% CI 1.06 to 12.12)) (area under receiver operating characteristics curve (AUROC) =0.75 (95% CI 0.701 to 0.848), pConclusionAge, GCS, fever and aetiology can effectively stratify acute seizure risk in patients with encephalitis. These findings can support the development of targeted interventions and aid clinical trial design for antiseizure medication prophylaxis.

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc1039dc092928714d5d7b7301dd5ad5Test

المؤلفون: Greta K. Wood, Kiran T. Thakur, Viraj Bharambe, Mashina Chomba, David García-Azorín, Kameshwar Prasad, Marcio Nattan Portes Souza, Sherry Hsiang-Yi Chou, Juan David Roa Giraldo, Ericka Fink, Fan Kee Hoo, Omar K. Siddiqi, Tom Solomon, Andrea S. Winkler, Benedict D. Michael

المصدر: Journal of the neurological sciences. 442

مصطلحات موضوعية: Neurology, International Cooperation, Humans, Brain, Neurology (clinical), Global Health

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddecfe5e49f345c858647e0d52e14f76Test
https://pubmed.ncbi.nlm.nih.gov/36257124Test