ArticleBrain communications2024
Tracts in the limbic system show microstructural alterations post COVID-19 recovery.
Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain microstructural alterations in COVID-19: a systematic review of diffusion weighted imaging studies.Brain imaging and behavior · 2026Pooled it
- Altered brain tissue microstructure and neurochemical profiles in long COVID and recovered COVID-19 individuals: A multimodal MRI study.Brain, behavior, & immunity - health · 2025Article
- Alterations of the amygdala in post-COVID olfactory dysfunction.Scientific reports · 2025Article
- Fixel based analysis on diffusion MRI of COVID-19 survivors.Neuroimage. Reports · 2025Article
- Multimodal MRI reveals consistent basal ganglia and limbic system alterations in COVID-19 survivors.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Quality of Sleep and Mental Symptoms Contribute to Health-Related Quality of Life after COVID-19 Pneumonia, a Follow-Up Study of More than 2 Years.Biomedicines · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Delirium, memory loss, attention deficit and fatigue are frequently reported by COVID survivors, yet the neurological pathways underlying these symptoms are not well understood. To study the possible mechanisms for these long-term sequelae after COVID-19 recovery, we investigated the microstructural properties of white matter in Indian cohorts of COVID-recovered patients and healthy controls. For the cross-sectional study presented here, we recruited 44 COVID-recovered patients and 29 healthy controls in New Delhi, India. Using deterministic whole-brain tractography on the acquired diffusion MRI scans, we traced 20 white matter tracts and compared fractional anisotropy, axial, mean and radial diffusivity between the cohorts. Our results revealed statistically significant differences (
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