key: cord-1033785-6k7bvgjo authors: Parsons, N.; Outsikas, A.; Parish, A.; Clohesy, R.; Thakkar, N.; Fiore DAprano, F.; Toomey, F.; Advani, S.; Poudel, G. R. title: Modelling the Anatomical Distribution of Neurological Events in COVID-19 Patients: A Systematic Review date: 2020-10-23 journal: medRxiv : the preprint server for health sciences DOI: 10.1101/2020.10.21.20215640 sha: 9b56e55c174eccb15388af34ac4dcd96cc954bcc doc_id: 1033785 cord_uid: 6k7bvgjo Background Neuropathology caused by the coronavirus disease 2019 (COVID-19) has been reported across several studies. The characterisation of the spatial distribution of these pathology remains critical to assess long and short-term neurological sequelae of COVID-19. To this end, Mathematical models can be used to characterise the location and aetiologies underlying COVID-19-related neuropathology. Method We performed a systematic review of the literature to quantify the locations of small neurological events identified with magnetic resonance imaging (MRI) among COVID-19 patients. Neurological events were localised into the Desikan-Killiany grey and white matter atlases. A mathematical network diffusion model was then used to test whether the spatial distribution of neurological events could be explained via a linear spread through the structural connectome of the brain. Findings We identified 35 articles consisting of 123 patients that assessed the spatial distribution of small neurological events among COVID-19 patients. Of these, 91 patients had grey matter changes, 95 patients had white matter changes and 72 patients had confirmed cerebral microbleeds. White matter events were observed within 14 of 42 white matter bundles from the IIT atlas. The highest proportions (26%) of events were observed within the bilateral corticospinal tracts. The splenium and middle of the corpus callosum were affected in 14% and 9% of the cases respectively. Grey matter events were spatially distributed in the 41 brain regions within the Desikan-Killiany atlas. The highest proportions (~10%) of the events were observed in areas including the bilateral superior temporal, precentral, and lateral occipital cortices. Sub-cortical events were most frequently identified in the Pallidum. The application of a mathematical network diffusion model suggested that the spatial pattern of the small neurological events in COVID-19 can be modelled with a linear diffusion of spread from epicentres in the bilateral cerebellum and basal ganglia (Pearsons r=0.41, p<0.001, corrected). Interpretation To our knowledge, this is the first study to systematically characterise the spatial distribution of small neurological events in COVID-19 patients and test whether the spatial distribution of these events can be explained by a linear diffusion spread model. The location of neurological events is consistent with commonly identified neurological symptoms including alterations in conscious state among COVID-19 patients that require brain imaging. Given the prevalence and severity of these manifestations, clinicians should carefully monitor neurological symptoms within COVID-19 patients and their potential long-term sequelae. This systematic review aims to (1) This systematic review was registered with the International Prospective Register of Systematic Reviews (PROSPERO: registration number CRD42020201161) and conducted according to PRISMA guidelines. 22 We searched Medline, Embase, Scopus and LitCovid databases from 1 st January 2020 -19 th July 2020 using the MeSH terms "coronavirus" OR "COVID-19" AND "neurolog*" OR "brain" OR "central nervous system" OR "CNS" AND "MRI" OR "magnetic resonance imaging" OR "hypointensities" OR "microbleeds" OR "cerebral microbleeds" OR "microhemorrhages". Additional studies were identified by manually searching the reference lists of relevant articles. The search strategy is described in supplementary Fig. 1 in a PRISMA flow-chart. Search was conducted with help of a health science librarian. We included case reports, case series and observational studies published in peer-reviewed journals and preprints available in English that identified small neurological events in patients with COVID-19 using MRI. Articles without full texts and studies without laboratory-confirmed COVID-19 patient diagnosis were excluded. Any studies only reporting large cerebrovascular events (such as strokes, infarcts) and diffuse pathology (nonspecific) were also excluded. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020. 10.21.20215640 doi: medRxiv preprint Two independent reviewers screened articles by title and abstract for relevance. These studies were then screened for eligibility for inclusion by full text evaluation. For each included article, two independent reviewers extracted data (AP, RC). Disagreements were collaboratively resolved within the team. Instructions detailing the type of information to be extracted and how to record, categorise or code this information was also discussed amongst team members. The following information was extracted from each manuscript: Two expert reviewers (NP, GP) screened each included article to identify the location, distribution, and number of neurological events. These events ranged from microbleeds (observed in SWI or T2* GRE images), white matter hyperintensities (FLAIR images), small lesions, or signal changes in diffusion-weighted MRI within grey or white matter. For each article, events were manually localised to grey or white matter regions based on available MRI images and/or radiological descriptions. The Illinios Institute of Technology (IIT) Desikan-Killiany grey matter atlas incorporating 84 brain regions, was used to label any events located within grey matter. 23 IIT white matter bundles were used to label any events located within white matter. 23 FSLeyes neuroimaging software from the FMRIB library was used to visualise white matter tracts and grey matter areas from the IIT atlas. 24 Any COVID-19 patient with non-specific neuropathological findings (e.g. "juxtacortical white matter") or without an MRI image or description were excluded from further analyses. This data encoding process generated two tables for grey and white matter regions with columns corresponding to each article and rows corresponding to the name of the region/bundle. Each cell in the table provided information on the number of cases corresponding to the neurological event. A third independent reviewer (FT) validated the encoded data and any discrepancies were discussed and addressed. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020. 10.21.20215640 doi: medRxiv preprint Proportions of events ቁ belonging to each encoded region within the IIT Desikan-Killiany grey matter atlas and IIT white matter bundles were used for visualisation. Grey matter events were visualised using MRICroGL software. 25 White matter events were visualised using MATLAB 2018a and CONN toolbox version 19b. 26, 27 Network diffusion model of spread A graph theoretical meta-analytic model was used to test whether the spatial distribution of small neurological events in the brain can be explained by a spread via the brain's structural connectome (source code available at: https://github.com/govin2000/covidspread). NDM was used per previous protocols that identified a spatial pattern of pathology in the brain. 19, 20 NDM models the hypothetical distribution of pathology in a brain network (given by a connectome C) over time by linear diffusion, given by: is a vector of distribution of pathology in the brain when diffusion is seeded from a given region provided by an initial condition ‫ݔ‬ . We used a repeated seeding approach, which has previously been used to identify potential epicentres of the spread of neuropathology. 28 We also used the IIT brain connectome, which is available openly. Family-wise error corrected for 84 regions) association with measured neurological events was defined as the seed region. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint The systematic search yielded 461 articles, of which 62 were eligible for full-text assessment (see Supplementary Fig. 1 for PRISMA flow-chart). Of these, 28 were excluded; these were commentaries, response letters and review articles proposing SARS-CoV- (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020. 10 (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020. 10 (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. *DWI = Diffusion-weighted imaging, STIR = short inversion time inversion recovery, SWI = susceptibility-weighted imaging, DSC = dynamic susceptibility contrast, GRE = gradient echo, ADC = apparent diffusion coefficient, TOF = time of flight All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint Figures 1a and b visualise the spatial distribution of white and grey matter neurological events. White matter events were observed within 11 of 42 white matter bundles from the IIT white matter bundles atlas. The highest percentage (26%) of events were observed within the bilateral corticospinal tracts, composed of white matter fibres which connect the primary motor cortex and basal ganglia. 59 . The splenium and middle of the corpus callosum were affected in 14% and 9% of the cases respectively. The remaining tracts show white matter events in less than 9% of cases. Of the cerebral microbleeds observed, a similar pattern emerged; where the largest proportion of cerebral microbleeds were also found in the middle corpus callosum, followed by the splenium of the corpus callosum. Grey matter events were spatially distributed among 41 brain regions within the Desikan-Killiany atlas. The highest proportions (~10%) of the events were observed in bilateral superior temporal, precentral, and lateral occipital cortices. Sub-cortical events were most frequently identified in the Pallidum. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. when Euclidian distance between regions was used as network edges instead of the structural connectivity data (Supplementary Figure 1b) . All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint Discussion COVID-19 patients are vulnerable to acute neuropathology, commonly in the form of small neurological and cerebrovascular events. We systematically reviewed articles reporting localised MRI findings in COVID-19 patients and spatially encoded them onto a common grey and white matter atlas. We then investigated whether the spatial distribution of these events follows a cortical or subcortical pattern that can be explained by a linear diffusionbased model of pathological spread. We found the epicentres of this spread to be the cerebellum and putamen. White matter events were identified most frequently in the corticospinal tract and corpus callosum. The corticospinal tract is a major white matter pathway connecting critical subcortical brain regions such as the basal ganglia and thalamus and as such, facilitates information related to voluntary motor control. As a result, diffuse aberrations in the corticospinal tract are associated with motor symptoms such as tendon reflexes, ankle clonus, and bilateral extensor plantar reflexes, which have been commonly reported in COVID-19 patients. 8, 38, 42, 46, 60 Similarly, the corpus callosum plays an important role in interhemispheric communication; which can result in disconnection syndrome and broad neurocognitive deficits. 65 In grey matter regions, events were identified most frequently in the temporal and precentral gyrus as well as the bilateral thalamus. Alterations in thalamocortical connectivity can disrupt the regulation of consciousness and arousal. 61, 62 As such, acute events in these regions may explain symptoms such as confusion, disorientation, agitation, and loss of consciousness. 8, 30, 34, 40, 51, 53, 55 Despite their acute manifestation, the accumulation of neurological events in subcortical structures and consequent disruption to distal cortical regions can increase susceptibility to cognitive impairment and decline-bearing significant ramifications for long-term cognitive prognosis. 63, 64 The epicentre and mechanism of spread All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020. 10.21.20215640 doi: medRxiv preprint We found that the critical epicentres for triggering the widespread neurological events to be the cerebellum and putamen. Given the potential for SARS-CoV-2 neurotropism, this finding is interesting, as neuropathology in the piriform cortex could be caused initially by the introduction of a virus through a direct axonal connection with the olfactory bulb. 65 However, a speculative interpretation could be that the cerebellum, due to its anatomical proximity to large cerebral arteries may serve as the initial site of neuropathology. SARS-CoV-2 may then travel to deep subcortical structures that are supplied sequentially with blood after the cerebellum such as the putamen, and then to cortical sites such as the precentral gyrus, via retrograde transsynaptic transmission by hijacking axonal transport mechanisms. [65] [66] [67] [68] [69] [70] While in transit, direct neuronal or endothelial cell disruption may exacerbate the systemic pathophysiology, facilitating cerebrovascular complications and mixed type I/II respiratory failure. 3, 65, 69 However, SARS-CoV-2 has rarely been isolated from CSF samples raising doubt over its neurotropism and direct role in neurological event pathogenesis. 69, 71, 72 Patients with neurological symptoms also presented with anosmia, 32,44,50 encephalopathy, seizures, and changes to vision including cortical blindness and visual confabulation. 33, 44, 73 Alterations in olfaction may therefore have a neurological basis, particularly in light of the identified pathology implicating the olfactory bulb in clinical imaging, 32, 44, 50 including the presence of microbleeds among these patients. It is plausible that these symptoms relate closely to the mode of infiltration of SARS-CoV-2, with a potential mechanism being direct injury to the nervous system via ACE2 receptor expression on nerve cells, including the olfactory bulb. 37 Other proposed pathological mechanisms may explain the distribution of neurological events including neuroinflammatory responses and cytokine and hypoxia-induced injury. 4, 18, 69 Emerging evidence is characterising COVID-19 as a vascular disease; a hyperinflammatory response with ensuing cytokine storm and coagulopathy which may synergistically contribute to neurological event pathogenesis. 3,4,18,69,74 COVID-19-associated coagulopathy occurs proportional to disease severity and leads to treatment-resistant thrombotic and haemorrhagic events; characterised by d-dimer elevation with prothrombin prolongation and thrombocytopenia. [74] [75] [76] [77] Furthermore, cytokine-and hypoxia-induced injury to the corpus callosum, particularly the splenium, has been reported within critical illness including acute respiratory distress All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint syndrome and high-altitude cerebral oedema, potentially contributing to a vulnerability in [78] [79] [80] [81] [82] [83] Hypoxia directly induces chemical and hydrostatic endothelial cell disruption, promoting vascular permeability and hence contributing to neurological event pathogenesis. 84 Relative to the cortex, the thalamus, basal ganglia and deep white matter are poorly perfused due to their watershed end-arterial vascular architecture which could exacerbate their baseline hypoxic vulnerability and ultimately promote subcortical neurological events. [84] [85] [86] [87] [88] While the pathogenesis of white matter hyperintensities remains under debate, roles for hypoxia, immune activation, endothelial cell dysfunction and altered metabolism have been posited; not dissimilar from the neuropathological suggestions within COVID-19. Limitations This review has several important limitations. Firstly, we translated neurological events into a standard MRI atlas space using a qualitative method; whereby these pathologies were localised using the radiological description of the location and MRI images where available. While this method is inherently subjective and lacks specificity, we used multiple neuroimaging experts and only included data with specific spatial information or MRI images. As such, the qualitative nature of the translation should be considered with caution while interpreting our findings. Secondly, most of the included articles were cross-sectional case studies and hence cannot directly attribute the observed neuropathology to SARS-CoV-2. Therefore, longitudinal neuroimaging is necessary to directly assess causality. Lastly, some of the neurological events included in our study may be explained by the ageing process; whereby white matter hyperintensities are correlated with age. 13, 90 Hence, findings regarding white matter changes; particularly white matter hyperintensities in the centrum semiovale, should be interpreted with caution. Patients with COVID-19 exhibit acute neuropathological and cerebrovascular events. These events occur predominantly in white matter tracts such as the corticospinal tract and corpus callosum, as well in grey matter areas such as the pallidum, putamen, thalamus, and cerebellum. These aberrations likely contribute to altered thalamocortical connectivity and may disrupt the regulation of consciousness and arousal. The accumulation of these events in All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint subcortical structures and the consequent disruption to distal regions, may ultimately increase susceptibility to cognitive impairment and decline-bearing significant long-term cognitive ramifications. Given the prevalence and severity of these manifestations, clinicians should consider having a low threshold for investigating neurological symptoms and monitoring potential long-term sequelae in COVID-19 patients. 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No reuse allowed without permission.(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint All rights reserved. No reuse allowed without permission.(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint All rights reserved. No reuse allowed without permission.(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint All rights reserved. No reuse allowed without permission.(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint this version posted October 23, 2020. ; https://doi.org/10.1101/2020.10.21.20215640 doi: medRxiv preprint