Evidence map›Paper›PMID 41307719›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

Mendelian randomization analyses support causal relationships between COVID-19 and changes in brain structure and function.

Qitong Wang, Fang Liu, Xinyu Wang, Tao Chen

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Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qitong WangDepartment of Neurology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, China.
Fang LiuDepartment of Neurology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, China.
Xinyu WangDepartment of Neurology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, China.
Tao ChenDepartment of Neurology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, China. ctxwyc@163.com.

Funding

National Natural Science Foundation of China 81060096National Natural Science Foundation of China 81560202
6 · The paper itself

Abstract

A range of neuropsychiatric symptoms (including "brain fog") following COVID-19 are clinically prevalent, yet their biological mechanisms remain unclear. Observational studies indicate that this association may be linked to alterations in brain structure and function post-COVID-19; however, it is uncertain whether this relationship is causal. The study data is derived from the summary statistics of a genome-wide association study (GWAS), where COVID-19 encompasses three phenotypes: critical illness (respiratory support or death; n = 1,086,211), hospitalization (n = 2,095,324), and SARS-CoV-2 infection (n = 2,597,856); Brain imaging-derived phenotypes (IDPs) include cortical structures (n = 51,665), subcortical brain structures (n = 30,717), and brain functional networks (n = 47,276); Neuropsychological symptoms comprise ten phenotypes, including cognitive performance (n = 51,710 to 480,359). We conducted a two-sample Mendelian randomization (MR) analysis to explore potential causal relationships between COVID-19 and IDPs, as well as neuropsychological symptoms. Sensitivity analyses were subsequently performed to evaluate the robustness of the results. We identified causal relationships between COVID-19 and 22 cortical structure phenotypes, one subcortical brain structure phenotype, five brain functional network phenotypes, and one neuropsychological symptom phenotype, with some overlap across different COVID-19 phenotypes. Notably, COVID-19 was predominantly negatively correlated with these phenotypes. Our findings suggest a weak causal relationship between COVID-19 and IDPs, as well as neuropsychological symptoms. Although further research is necessary to validate these relationships, these findings may contribute to a better understanding of the associations between COVID-19, IDPs, and neuropsychological symptoms.

Indexed as

BrainCOVID-19Mendelian Randomization AnalysisGenome-Wide Association StudyHumansPhenotypeBrain fogCOVID-19MRINeuroimagingNeuropsychologyPost-COVID condition

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.