Evidence map›Paper›PMID 40109999›Full record

ArticleWorld journal of psychiatry2025

Mood symptoms, cognitive function, and changes of brain hemodynamics in patients with COVID-19: A functional near-infrared spectroscopy study.

Wen-Jin Ma, Ruo-Chao Yuan, Zi-Yu Peng, Qian Wu, Manal Al-Matary, Hui-Shu Yang, Peng Cheng, Guang-Ju Zhao, Chao-Chao Lu, Yue-Xin Zhang and 2 more

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Article in World journal of psychiatry, 2025. 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

12 authors.

Wen-Jin MaDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Ruo-Chao YuanResearch Center of Educational Neuroscience, School of Educational Science, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China.
Zi-Yu PengDepartment of Education, Hunan Normal University, Changsha 410081, Hunan Province, China.
Qian WuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Manal Al-MataryDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Hui-Shu YangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Peng ChengDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Guang-Ju ZhaoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Chao-Chao LuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Yue-Xin ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China.
Jia-Kun HongGuigang Medical District of No. 923 Hospital, PLA Joint Logistics Support Force, Guigang 537000, Guangxi Zhuang Autonomous Region, China.
Wei-Hui LiDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China. weihui_li@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany patients with coronavirus disease 2019 (COVID-19) may experience emotional issues and cognitive impairment. However, it remains unclear whether the brain mediates the impact of COVID-19 on the emergence of psychopathological symptoms. It remains unclear whether anxiety and depression are caused by stressors or viral infection.

aimTo use functional near-infrared spectroscopy (fNIRS) to detect cortical hemodynamic changes in patients with COVID-19 and their relationship with mental symptoms (mainly depression and anxiety), to investigate whether COVID-19 causes these changes by affecting brain function.

methodsA total of 58 subjects, comprising 29 patients with first acute COVID-19 infection and 29 healthy controls without COVID-19 infection and without anxiety or depression were recruited. Then cortical activation during the performance of the verbal fluency test (VFT) and brain connectivity during the resting state (rs) were evaluated by 53-channel fNIRS. For the COVID-19-infected group, Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to assess the emotional state before fNIRS measures.

resultsFor the rs, compared to the uninfected group, the infected group exhibited lower rs functional connectivity (FC) in the dorsolateral prefrontal cortex (DLPFC), which was correlated with both the PHQ score and GAD score. During the VFT, the infected group exhibited significantly lower cortical activation than the uninfected group in both Broca-left and Broca-right. Besides, the integral value in the DLPFC-L showed a significant negative correlation with the PHQ-9 score during the VFT in the infected group.

conclusionThere were significant differences in the bilateral Broca area and DLPFC between the COVID-19-infected and uninfected groups, which may be the reason why COVID-19 infection impairs cognitive function and language function and leads to psychiatric symptoms. In addition, the rsFC in patients with COVID-19 was positively correlated with the severity of depression and anxiety, which may be related to the fact that the mental symptoms of patients with COVID-19 are characterized by depression and anxiety, rather than depression or anxiety alone. Our study provides evidence that the psychological and emotional issues caused by COVID-19 are not only due to external social factors but also involve more direct brain neural mechanisms and abnormal neural circuits, which also provide insights into the future treatment and prognosis of individuals with COVID-19.

Indexed as

AnxietyCognitive functionCOVID-19DepressionFunctional near-infrared spectroscopyVerbal fluency test

Identifiers

PMID40109999
PMCPMC11886312

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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.