The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19
Background: Fatigue is often accompanied by comorbid sleep disturbance and psychiatric distress following the COVID-19 infection. However, identifying individuals at risk for developing post-COVID fatigue remains challenging. This study aimed to identify the neurobiological markers underlying fatigu...
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Elsevier
2025-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925000114 |
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| author | Xuan Niu Wenrui Bao Zhaoyao Luo Pang Du Heping Zhou Haiyang Liu Baoqi Wang Huawen Zhang Bo Wang Baoqin Guo Hui Ma Tao Lu Yuchen Zhang Junya Mu Shaohui Ma Jixin Liu Ming Zhang |
| author_facet | Xuan Niu Wenrui Bao Zhaoyao Luo Pang Du Heping Zhou Haiyang Liu Baoqi Wang Huawen Zhang Bo Wang Baoqin Guo Hui Ma Tao Lu Yuchen Zhang Junya Mu Shaohui Ma Jixin Liu Ming Zhang |
| author_sort | Xuan Niu |
| collection | DOAJ |
| description | Background: Fatigue is often accompanied by comorbid sleep disturbance and psychiatric distress following the COVID-19 infection. However, identifying individuals at risk for developing post-COVID fatigue remains challenging. This study aimed to identify the neurobiological markers underlying fatigue susceptibility and further investigate their effect on COVID-19-related neuropsychiatric symptoms. Methods: Individuals following a mild SARS-CoV-2 infection (COV+) underwent neuropsychiatric measurements (n = 335) and MRI scans (n = 271) within 1 month (baseline), and 191 (70.5 %) of the individuals were followed up 3 months after infection. Sixty-seven healthy controls (COV−) completed the same recruitment protocol. Results: Whole-brain voxel-wise analysis showed that gray matter volume (GMV) during the acute phase did not differ between the COV+ and COV− groups. GMV in the right dorsolateral prefrontal cortex (DLPFC) and left dorsal anterior cingulate cortex (dACC) were associated with fatigue severity only in the COV+ group at baseline, which were assigned to the frontal system and limbic system, respectively. Furthermore, fatigue mediated the associations between volume differences in fatigue susceptibility and COVID-related sleep, post-traumatic stress disorder, anxiety and depression. Crucially, the initial GMV in the right DLPFC can predict fatigue symptoms 3 months after infection. Conclusions: We provide novel evidence on the neuroanatomical basis of fatigue vulnerability and emphasize that acute fatigue is an important link between early GMV in the frontal-limbic regions and comorbid neuropsychiatric symptoms at baseline and 3 months after infection. Our findings highlight the role of the frontal-limbic system in predisposing individuals to develop post-COVID fatigue. |
| format | Article |
| id | doaj-art-a09c25b8205543de82e11085115a6c1a |
| institution | Kabale University |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-a09c25b8205543de82e11085115a6c1a2025-01-23T05:26:23ZengElsevierNeuroImage1095-95722025-02-01306121011The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19Xuan Niu0Wenrui Bao1Zhaoyao Luo2Pang Du3Heping Zhou4Haiyang Liu5Baoqi Wang6Huawen Zhang7Bo Wang8Baoqin Guo9Hui Ma10Tao Lu11Yuchen Zhang12Junya Mu13Shaohui Ma14Jixin Liu15Ming Zhang16Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaSchool of Future Technology, Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaDepartment of Medical Imaging, Xi'an QinHuang Hospital, Xi'an, Shaanxi Province, ChinaMedical Imaging Centre, Ankang Central Hospital, Ankang, Shaanxi Province, ChinaDepartment of Medical Imaging, Shangluo Central Hospital, Shangluo, Shaanxi Province, ChinaDepartment of Medical Imaging, Yanan Traditional Chinese Medicine Hospital, Yan'an, Shaanxi Province, ChinaDepartment of Medical Imaging, No.215 Hospital of Shaanxi Nuclear Geology, Xianyang, ChinaDepartment of Medical Imaging, Hanzhong Central Hospital, Hanzhong, Shaanxi Province, ChinaDepartment of Medical Imaging, Xi'an Jiaotong University First Hospital Yulin, Yulin, Shaanxi Province, ChinaDepartment of Medical Imaging, Baoji High-tech Hospital, Baoji, Shaanxi Province, ChinaDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaDepartment of Nuclear Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, ChinaSchool of Life Science and Technology, Xidian University, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, Xi'an, Shaanxi, China; Corresponding author at: School of Life Science and Technology, Xidian University; Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, Xi'an, Shaanxi, China.Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China; Corresponding author at: Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.Background: Fatigue is often accompanied by comorbid sleep disturbance and psychiatric distress following the COVID-19 infection. However, identifying individuals at risk for developing post-COVID fatigue remains challenging. This study aimed to identify the neurobiological markers underlying fatigue susceptibility and further investigate their effect on COVID-19-related neuropsychiatric symptoms. Methods: Individuals following a mild SARS-CoV-2 infection (COV+) underwent neuropsychiatric measurements (n = 335) and MRI scans (n = 271) within 1 month (baseline), and 191 (70.5 %) of the individuals were followed up 3 months after infection. Sixty-seven healthy controls (COV−) completed the same recruitment protocol. Results: Whole-brain voxel-wise analysis showed that gray matter volume (GMV) during the acute phase did not differ between the COV+ and COV− groups. GMV in the right dorsolateral prefrontal cortex (DLPFC) and left dorsal anterior cingulate cortex (dACC) were associated with fatigue severity only in the COV+ group at baseline, which were assigned to the frontal system and limbic system, respectively. Furthermore, fatigue mediated the associations between volume differences in fatigue susceptibility and COVID-related sleep, post-traumatic stress disorder, anxiety and depression. Crucially, the initial GMV in the right DLPFC can predict fatigue symptoms 3 months after infection. Conclusions: We provide novel evidence on the neuroanatomical basis of fatigue vulnerability and emphasize that acute fatigue is an important link between early GMV in the frontal-limbic regions and comorbid neuropsychiatric symptoms at baseline and 3 months after infection. Our findings highlight the role of the frontal-limbic system in predisposing individuals to develop post-COVID fatigue.http://www.sciencedirect.com/science/article/pii/S1053811925000114COVID-19Voxel-based morphometryGray matter volumeFatigue susceptibilityFrontal-limbic systemNeuropsychiatric symptom |
| spellingShingle | Xuan Niu Wenrui Bao Zhaoyao Luo Pang Du Heping Zhou Haiyang Liu Baoqi Wang Huawen Zhang Bo Wang Baoqin Guo Hui Ma Tao Lu Yuchen Zhang Junya Mu Shaohui Ma Jixin Liu Ming Zhang The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 NeuroImage COVID-19 Voxel-based morphometry Gray matter volume Fatigue susceptibility Frontal-limbic system Neuropsychiatric symptom |
| title | The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 |
| title_full | The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 |
| title_fullStr | The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 |
| title_full_unstemmed | The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 |
| title_short | The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19 |
| title_sort | association among individual gray matter volume of frontal limbic circuitry fatigue susceptibility and comorbid neuropsychiatric symptoms following covid 19 |
| topic | COVID-19 Voxel-based morphometry Gray matter volume Fatigue susceptibility Frontal-limbic system Neuropsychiatric symptom |
| url | http://www.sciencedirect.com/science/article/pii/S1053811925000114 |
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