SARS-CoV2 evokes structural brain changes resulting in declined executive function

Abstract:

Background: Several research has underlined the multi-system character of COVID-19. Though effects on the Central Nervous System are mainly discussed as disease-specific affections due to the virus’ neurotropism, no comprehensive disease model of COVID-19 exists on a neurofunctional base by now. We aimed to investigate neuroplastic grey- and white matter changes related to COVID-19 and to link these changes to neurocognitive testings leading towards a multi-dimensional disease model.

Methods: Groups of acutely ill COVID-19 patients (n = 16), recovered COVID-19 patients (n = 21) and healthy controls (n = 13) were prospectively included into this study. MR-imaging included T1-weighted sequences for analysis of grey matter using voxel-based morphometry and diffusion-weighted sequences to investigate white matter tracts using probabilistic tractography. Comprehensive neurocognitive testing for verbal and non-verbal domains was performed.

Results: Alterations strongly focused on grey matter of the frontal-basal ganglia-thalamus network and temporal areas, as well as fiber tracts connecting these areas. In acute COVID-19 patients, a decline of grey matter volume was found with an accompanying diminution of white matter tracts. A decline in executive function and especially verbal fluency was found in acute patients, partially persisting in recovered.

Conclusion: Changes in gray matter volume and white matter tracts included mainly areas involved in networks of executive control and language. Deeper understanding of these alterations is necessary especially with respect to long-term impairments, often referred to as ‘Post-COVID’.

Source: Deuter D, Hense K, Kunkel K, Vollmayr J, Schachinger S, Wendl C, Schicho A, Fellner C, Salzberger B, Hitzenbichler F, Zeller J, Vielsmeier V, Dodoo-Schittko F, Schmidt NO, Rosengarth K. SARS-CoV2 evokes structural brain changes resulting in declined executive function. PLoS One. 2024 Mar 12;19(3):e0298837. doi: 10.1371/journal.pone.0298837. PMID: 38470899; PMCID: PMC10931481. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10931481/ (Full text)

Cognitive-linguistic difficulties in adults with Long COVID: A follow-up study

Abstract:

As the emergency phase of the COVID-19 pandemic subsides, the long-term health problems caused by SARS-CoV-2 infection are becoming increasingly clear. So-called Long COVID, or post COVID-19 condition, is a debilitating illness that impacts functioning for months and even years after infection. Alongside physical symptoms, Long COVID has a particularly insidious effect on cognition and language. While many studies have documented non-linguistic cognitive impairments in people with Long COVID, what has not been documented to any significant extent is the presence and duration of language difficulties in Long COVID. This study addresses this lack of research by examining the cognitive-linguistic skills of 41 adults with Long COVID.

These adults were assessed at two time points using a test protocol of 12 language tasks. This paper describes the findings of the 6-month follow-up study. Results indicate that difficulties in immediate and delayed verbal recall persist long after the onset of COVID symptoms, even as improvements occur in verbal fluency and the informativeness of spoken discourse.

It is argued that these difficulties are a significant contributing factor in a lack of work return in these adults. Implications of these findings for the provision of speech-language pathology services to these adults and occupational health policies relating to Long COVID are discussed.

Source: Louise Cummings. Cognitive-linguistic difficulties in adults with Long COVID: A follow-up study. Language and Health. Available online 2 October 2023. https://www.sciencedirect.com/science/article/pii/S2949903823000325 (Full text)

Brain 18F-FDG PET imaging in outpatients with post-COVID-19 conditions: findings and associations with clinical characteristics

Abstract:

Background: Brain 18F-FDG PET imaging has the potential to provide an objective assessment of brain involvement in post-COVID-19 conditions but previous studies of heterogeneous patient series yield inconsistent results. The current study aimed to investigate brain 18F-FDG PET findings in a homogeneous series of outpatients with post-COVID-19 conditions and to identify associations with clinical patient characteristics.

Methods: We retrospectively included 28 consecutive outpatients who presented with post-COVID-19 conditions between September 2020 and May 2022 and who satisfied the WHO definition, and had a brain 18F-FDG PET for suspected brain involvement but had not been hospitalized for COVID-19. A voxel-based group comparison with 28 age- and sex-matched healthy controls was performed (p-voxel at 0.005 uncorrected, p-cluster at 0.05 FWE corrected) and identified clusters were correlated with clinical characteristics.

Results: Outpatients with post-COVID-19 conditions exhibited diffuse hypometabolism predominantly involving right frontal and temporal lobes including the orbito-frontal cortex and internal temporal areas. Metabolism in these clusters was inversely correlated with the number of symptoms during the initial infection (r = – 0.44, p = 0.02) and with the duration of symptoms (r = – 0.39, p = 0.04). Asthenia and cardiovascular, digestive, and neurological disorders during the acute phase and asthenia and language disorders during the chronic phase (p ≤ 0.04) were associated with these hypometabolic clusters.

Conclusion: Outpatients with post-COVID-19 conditions exhibited extensive hypometabolic right fronto-temporal clusters. Patients with more numerous symptoms during the initial phase and with a longer duration of symptoms were at higher risk of persistent brain involvement.

Source: Goehringer F, Bruyere A, Doyen M, Bevilacqua S, Charmillon A, Heyer S, Verger A. Brain 18F-FDG PET imaging in outpatients with post-COVID-19 conditions: findings and associations with clinical characteristics. Eur J Nucl Med Mol Imaging. 2022 Nov 2. doi: 10.1007/s00259-022-06013-2. Epub ahead of print. PMID: 36322190. https://link.springer.com/article/10.1007/s00259-022-06013-2 (Full text)