Modelling the Anatomic Distribution of Neurologic Events in Patients with COVID-19: A Systematic Review of MRI Findings

• Published in: American journal of neuroradiology : AJNR Vol. 42; no. 7; pp. 1190 - 1195
• Main Authors: Parsons, N, Outsikas, A, Parish, A, Clohesy, R, D'Aprano, F, Toomey, F, Advani, S, Poudel, G R
• Format: Journal Article
• Language: English
• Published: United States American Society of Neuroradiology 01-07-2021
• Subjects: Adult Brain
• ISSN: 0195-6108; 1936-959X
• DOI: 10.3174/ajnr.A7113

Neurologic 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.
Our aim was to quantitatively evaluate whether a network diffusion model can explain the spread of small neurologic events.
The MEDLINE, EMBASE, Scopus, and LitCovid data bases were searched from January 1, 2020, to July 19, 2020.
Thirty-five case series and case studies reported 317 small neurologic events in 123 unique patients with COVID-19.
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 (
< .05, family-wise error-corrected) between predicted and measured events were considered epicenters.
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 (
=
0.51,
< .001, corrected) and putamen (
=
0.4,
= .02, corrected). In white matter, most events (∼26%) were observed within the bilateral corticospinal tracts.
The risk of bias was not considered because all studies were either case series or case studies.
Transconnectome diffusion of pathology via the structural network of the brain may contribute to the spread of neurologic events in patients with COVID-19.