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Topographical Distribution of Neuroanatomical Abnormalities Following COVID-19 Invasion: A Systematic Literature Review.

Kiyak, C., Ijezie, O. A., Ackah, J. A., Armstrong, M., Cowen, J., Cetinkaya, D., Burianová, H. and Akudjedu, T. N., 2024. Topographical Distribution of Neuroanatomical Abnormalities Following COVID-19 Invasion: A Systematic Literature Review. Clinical Neuroradiology, 34, 13-31.

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DOI: 10.1007/s00062-023-01344-5

Abstract

PURPOSE: This systematic review is aimed at synthesising the literature base to date on the frequency and topographical distribution of neuroanatomical changes seen on imaging following COVID-19 invasion with a focus on both the acute and chronic phases of the disease. METHODS: In this study, 8 databases were systematically searched to identify relevant articles published from December 2019 to March 2022 and supplemented with a manual reference search. Data were extracted from the included studies and narrative synthesis was employed to integrate the findings. RESULTS: A total of 110 studies met the inclusion criteria and comprised 119,307 participants (including 31,073 acute and 143 long COVID-19 patients manifesting neurological alterations) and controls. Considerable variability in both the localisation and nature of neuroanatomical abnormalities are noted along the continuum with a wide range of neuropathologies relating to the cerebrovascular/neurovascular system, (sub)cortical structures (including deep grey and white matter structures), brainstem, and predominant regional and/or global alterations in the cerebellum with varying degrees of spinal involvement. CONCLUSION: Structural regional alterations on neuroimaging are frequently demonstrated in both the acute and chronic phases of SARS-CoV‑2 infection, particularly prevalent across subcortical, prefrontal/frontal and cortico-limbic brain areas as well as the cerebrovascular/neurovascular system. These findings contribute to our understanding of the acute and chronic effects of the virus on the nervous system and has the potential to provide information on acute and long-term treatment and neurorehabilitation decisions.

Item Type:Article
ISSN:1869-1439
Uncontrolled Keywords:Brain; Coronavirus; Neuroimaging; SARS-CoV‑2; Spine
Group:Faculty of Science & Technology
ID Code:38989
Deposited By: Symplectic RT2
Deposited On:19 Sep 2023 13:21
Last Modified:05 Jun 2024 07:38

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