A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke
ObjectiveThe present study aimed to investigate alterations in neural activity and reorganization of functional networks within critical brain regions associated with reduced cardiorespiratory fitness (CRF) in stroke patients. By employing resting-state functional magnetic resonance imaging (fMRI),...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1465467/full |
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| author | Qingming Qu Kexu Zhang Hewei Wang Hewei Wang Jie Zhu Jie Zhu Yingnan Lin Jie Jia Jie Jia Jie Jia |
| author_facet | Qingming Qu Kexu Zhang Hewei Wang Hewei Wang Jie Zhu Jie Zhu Yingnan Lin Jie Jia Jie Jia Jie Jia |
| author_sort | Qingming Qu |
| collection | DOAJ |
| description | ObjectiveThe present study aimed to investigate alterations in neural activity and reorganization of functional networks within critical brain regions associated with reduced cardiorespiratory fitness (CRF) in stroke patients. By employing resting-state functional magnetic resonance imaging (fMRI), we sought to identify specific brain areas that may be implicated in CRF decline among this patient population.MethodsA total of 22 patients with stroke and 15 healthy subjects matched for age, gender, and body mass index were recruited. Rehabilitation assessments included peak oxygen uptake (VO2peak), peak work-rate, 10-meter walk test (10mWT), five times sit-to-stand test (FTSST), and 6-min walking distance (6MWD). Resting-state fMRI data were collected for the two groups, and correlation between changes in the amplitude of low-frequency fluctuations (ALFF) and CRF was analyzed to detect brain regions related to CRF and local neural activity in patients with stroke. On the basis of ALFF analysis, brain network analysis was performed, and the CRF-related brain regions in patients with stroke were selected as seed points. Functional connectivity (FC) analysis was the used to identify brain regions and networks potentially associated with CRF in patients with stroke.ResultsPatients with stroke exhibited significantly lower VO2peak, peak work-rate, 10mWT, and 6MWD compared to healthy controls (p < 0.001). FTSST was significantly higher in patients with stroke than healthy controls (p < 0.001). ALFF analysis identified CRF-related brain regions in patients with stroke, including the ipsilesional superior temporal gyrus (r = 0.56947, p = 0.00036), middle frontal gyrus (r = 0.62446, p = 0.00006), and precentral gyrus (r = 0.56866, p = 0.00036). FC analysis revealed that the functional connectivity of brain regions related to CRF in patients with stroke involved the ipsilesional M1 to ipsilesional precentral gyrus and contralesional postcentral gyrus, and the correlation coefficients were r = 0.54802 (p = 0.00065) and r = 0.49511 (p = 0.0025), respectively. The correlation coefficients of ipsilesional middle frontal gyrus to contralesional middle frontal gyrus, angular gyrus and ipsilesional superior frontal gyrus were r = 0.58617 (p = 0.00022), r = 0.57735 (p = 0.00028), and r = −0.65229 (p = 0.00002), respectively.ConclusionThis study observed that CRF levels were lower in stroke patients compared to those in healthy individuals. Resting fMRI analysis was applied to identify CRF-related brain regions (ipsilesional superior temporal, middle frontal, precentral gyri) and networks in patients with stroke.Clinical trial registrationhttps://www.chictr.org.cn/showproj.html?proj=151095. |
| format | Article |
| id | doaj-art-0933a20a0ef34de1b6a632e8c6e0a2c5 |
| institution | DOAJ |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neurology |
| spelling | doaj-art-0933a20a0ef34de1b6a632e8c6e0a2c52025-08-20T02:48:39ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-01-011610.3389/fneur.2025.14654671465467A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after strokeQingming Qu0Kexu Zhang1Hewei Wang2Hewei Wang3Jie Zhu4Jie Zhu5Yingnan Lin6Jie Jia7Jie Jia8Jie Jia9Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaNational Center for Neurological Disorders, Shanghai, ChinaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaNational Center for Neurological Disorders, Shanghai, ChinaDepartment of General Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaNational Center for Neurological Disorders, Shanghai, ChinaNational Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaObjectiveThe present study aimed to investigate alterations in neural activity and reorganization of functional networks within critical brain regions associated with reduced cardiorespiratory fitness (CRF) in stroke patients. By employing resting-state functional magnetic resonance imaging (fMRI), we sought to identify specific brain areas that may be implicated in CRF decline among this patient population.MethodsA total of 22 patients with stroke and 15 healthy subjects matched for age, gender, and body mass index were recruited. Rehabilitation assessments included peak oxygen uptake (VO2peak), peak work-rate, 10-meter walk test (10mWT), five times sit-to-stand test (FTSST), and 6-min walking distance (6MWD). Resting-state fMRI data were collected for the two groups, and correlation between changes in the amplitude of low-frequency fluctuations (ALFF) and CRF was analyzed to detect brain regions related to CRF and local neural activity in patients with stroke. On the basis of ALFF analysis, brain network analysis was performed, and the CRF-related brain regions in patients with stroke were selected as seed points. Functional connectivity (FC) analysis was the used to identify brain regions and networks potentially associated with CRF in patients with stroke.ResultsPatients with stroke exhibited significantly lower VO2peak, peak work-rate, 10mWT, and 6MWD compared to healthy controls (p < 0.001). FTSST was significantly higher in patients with stroke than healthy controls (p < 0.001). ALFF analysis identified CRF-related brain regions in patients with stroke, including the ipsilesional superior temporal gyrus (r = 0.56947, p = 0.00036), middle frontal gyrus (r = 0.62446, p = 0.00006), and precentral gyrus (r = 0.56866, p = 0.00036). FC analysis revealed that the functional connectivity of brain regions related to CRF in patients with stroke involved the ipsilesional M1 to ipsilesional precentral gyrus and contralesional postcentral gyrus, and the correlation coefficients were r = 0.54802 (p = 0.00065) and r = 0.49511 (p = 0.0025), respectively. The correlation coefficients of ipsilesional middle frontal gyrus to contralesional middle frontal gyrus, angular gyrus and ipsilesional superior frontal gyrus were r = 0.58617 (p = 0.00022), r = 0.57735 (p = 0.00028), and r = −0.65229 (p = 0.00002), respectively.ConclusionThis study observed that CRF levels were lower in stroke patients compared to those in healthy individuals. Resting fMRI analysis was applied to identify CRF-related brain regions (ipsilesional superior temporal, middle frontal, precentral gyri) and networks in patients with stroke.Clinical trial registrationhttps://www.chictr.org.cn/showproj.html?proj=151095.https://www.frontiersin.org/articles/10.3389/fneur.2025.1465467/fullcardiorespiratory fitnessresting-state fMRIamplitude of low-frequency fluctuationsfunctional connectivitybrain network |
| spellingShingle | Qingming Qu Kexu Zhang Hewei Wang Hewei Wang Jie Zhu Jie Zhu Yingnan Lin Jie Jia Jie Jia Jie Jia A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke Frontiers in Neurology cardiorespiratory fitness resting-state fMRI amplitude of low-frequency fluctuations functional connectivity brain network |
| title | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke |
| title_full | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke |
| title_fullStr | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke |
| title_full_unstemmed | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke |
| title_short | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke |
| title_sort | resting state fmri cross sectional study of cardiorespiratory fitness decline after stroke |
| topic | cardiorespiratory fitness resting-state fMRI amplitude of low-frequency fluctuations functional connectivity brain network |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1465467/full |
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