Multimodal MRI Reveals Consistent Basal Ganglia and Limbic System Alterations in COVID-19 Survivors
The long-term impact of COVID-19 on the brain is multifaceted, encompassing structural and functional disruptions. A cohesive theory of the underlying mechanisms of the Post-COVID Syndrome (PCS) remains unknown, primarily due to high variability in findings across independent studies. Here, we present a multimodal, cross-sectional MRI analysis of brain morphology (T1-MRI), tissue microstructure (diffusion-MRI), functional connectivity (functional-MRI), and cerebral blood flow (Arterial Spin Labeling MRI) in COVID-Recovered Patients (CRPs, N=76) and Healthy Controls (HCs, N=51). Although the global brain volumes did not differ between the two groups, CRPs showed focal atrophy in the right basal ganglia and limbic structures, along with cortical thinning in paralimbic regions (prefrontal cortex, insula) (p<0.05). Diffusion MRI analysis revealed reduced fractional anisotropy and elevated radial diffusivity in the uncinate fasciculus and cingulum. No differences were observed in resting-state functional connectivity (RSFC) and cerebral blood flow between HCs and CRPs (p>0.05). We further investigated the effect of infection severity by stratifying the CRPs into hospitalized (HP; N = 21) and non-hospitalized (NHP; N = 46) groups. The microstructural damage was linked to infection severity, more pronounced in the HPs (p<0.05). In HPs, RSFC was diminished between components of the default mode network and the insula and caudate as compared to HCs and NHPs (p<0.05). Results suggest COVID-19 is associated with selective structural and functional alterations in basal ganglia–limbic–cortical circuits, with stronger effects in severe cases. Our findings are in line with common prevalent behavioral symptoms such as fatigue, memory impairment, attentional deficits, and insomnia. This study suggests that localized microstructural neuroinflammatory mechanisms contribute to post-COVID neurological symptoms and offers potential imaging biomarkers for targeted therapies and monitoring recovery.
### Competing Interest Statement
The authors have declared no competing interest.
### Funding Statement
The work is supported by MeitY (Government of India) under grant 4(16)/2019-ITEA and Cadence Chair Professor fund awarded to Dr. Tapan Kumar Gandhi. The work is also supported by the Prime Minister Research Fellowship awarded to Ms. Sapna S Mishra.
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Data collection occurred under the purview of the Indian Institute of Technology Delhi, and all imaging procedures were conducted at Mahajan Imaging Center, New Delhi in accordance with the Institute Review Board (IRB) regulations. The pilot study was approved by the ethics committee of the Mahajan Imaging Center, and the entire study was approved by the Institute Ethics Committee, Indian Institute of Technology Delhi. All subjects provided informed consent before any behavioural or physical data was collected.
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