An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment
Background: Subcortical vascular cognitive impairment (sVCI), caused by cerebral small vessel disease, accounts for the majority of vascular cognitive impairment, and is characterized by an insidious onset and impaired memory and executive function. If not recognized early, it inevitably develops in...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-09-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2021.649233/full |
| _version_ | 1818737046470000640 |
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| author | Wenwen Xu Yu Song Shanshan Chen Chen Xue Guanjie Hu Wenzhang Qi Wenying Ma Xingjian Lin Jiu Chen Jiu Chen |
| author_facet | Wenwen Xu Yu Song Shanshan Chen Chen Xue Guanjie Hu Wenzhang Qi Wenying Ma Xingjian Lin Jiu Chen Jiu Chen |
| author_sort | Wenwen Xu |
| collection | DOAJ |
| description | Background: Subcortical vascular cognitive impairment (sVCI), caused by cerebral small vessel disease, accounts for the majority of vascular cognitive impairment, and is characterized by an insidious onset and impaired memory and executive function. If not recognized early, it inevitably develops into vascular dementia. Several quantitative studies have reported the consistent results of brain regions in sVCI patients that can be used to predict dementia conversion. The purpose of the study was to explore the exact abnormalities within the brain in sVCI patients by combining the coordinates reported in previous studies.Methods: The PubMed, Embase, and Web of Science databases were thoroughly searched to obtain neuroimaging articles on the amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in sVCI patients. According to the activation likelihood estimation (ALE) algorithm, a meta-analysis based on coordinate and functional connectivity modeling was conducted.Results: The quantitative meta-analysis included 20 functional imaging studies on sVCI patients. Alterations in specific brain regions were mainly concentrated in the frontal lobes including the middle frontal gyrus, superior frontal gyrus, medial frontal gyrus, and precentral gyrus; parietal lobes including the precuneus, angular gyrus, postcentral gyrus, and inferior parietal lobule; occipital lobes including the lingual gyrus and cuneus; temporal lobes including the fusiform gyrus and middle temporal gyrus; and the limbic system including the cingulate gyrus. These specific brain regions belonged to important networks known as the default mode network, the executive control network, and the visual network.Conclusion: The present study determined specific abnormal brain regions in sVCI patients, and these brain regions with specific changes were found to belong to important brain functional networks. The findings objectively present the exact abnormalities within the brain, which help further understand the pathogenesis of sVCI and identify them as potential imaging biomarkers. The results may also provide a basis for new approaches to treatment. |
| first_indexed | 2024-12-18T00:46:49Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-18T00:46:49Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-ed2fb9b6d65f4e05839582c70937d4ec2022-12-21T21:26:46ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-09-011210.3389/fneur.2021.649233649233An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive ImpairmentWenwen Xu0Yu Song1Shanshan Chen2Chen Xue3Guanjie Hu4Wenzhang Qi5Wenying Ma6Xingjian Lin7Jiu Chen8Jiu Chen9Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaInstitute of Brain Functional Imaging, Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaInstitute of Brain Functional Imaging, Nanjing Medical University, Nanjing, ChinaInstitute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaBackground: Subcortical vascular cognitive impairment (sVCI), caused by cerebral small vessel disease, accounts for the majority of vascular cognitive impairment, and is characterized by an insidious onset and impaired memory and executive function. If not recognized early, it inevitably develops into vascular dementia. Several quantitative studies have reported the consistent results of brain regions in sVCI patients that can be used to predict dementia conversion. The purpose of the study was to explore the exact abnormalities within the brain in sVCI patients by combining the coordinates reported in previous studies.Methods: The PubMed, Embase, and Web of Science databases were thoroughly searched to obtain neuroimaging articles on the amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in sVCI patients. According to the activation likelihood estimation (ALE) algorithm, a meta-analysis based on coordinate and functional connectivity modeling was conducted.Results: The quantitative meta-analysis included 20 functional imaging studies on sVCI patients. Alterations in specific brain regions were mainly concentrated in the frontal lobes including the middle frontal gyrus, superior frontal gyrus, medial frontal gyrus, and precentral gyrus; parietal lobes including the precuneus, angular gyrus, postcentral gyrus, and inferior parietal lobule; occipital lobes including the lingual gyrus and cuneus; temporal lobes including the fusiform gyrus and middle temporal gyrus; and the limbic system including the cingulate gyrus. These specific brain regions belonged to important networks known as the default mode network, the executive control network, and the visual network.Conclusion: The present study determined specific abnormal brain regions in sVCI patients, and these brain regions with specific changes were found to belong to important brain functional networks. The findings objectively present the exact abnormalities within the brain, which help further understand the pathogenesis of sVCI and identify them as potential imaging biomarkers. The results may also provide a basis for new approaches to treatment.https://www.frontiersin.org/articles/10.3389/fneur.2021.649233/fullsubcortical vascular cognitive impairmentresting stateALEamplitude of low-frequency fluctuationregional homogeneityfunctional connectivity |
| spellingShingle | Wenwen Xu Yu Song Shanshan Chen Chen Xue Guanjie Hu Wenzhang Qi Wenying Ma Xingjian Lin Jiu Chen Jiu Chen An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment Frontiers in Neurology subcortical vascular cognitive impairment resting state ALE amplitude of low-frequency fluctuation regional homogeneity functional connectivity |
| title | An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment |
| title_full | An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment |
| title_fullStr | An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment |
| title_full_unstemmed | An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment |
| title_short | An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment |
| title_sort | ale meta analysis of specific functional mri studies on subcortical vascular cognitive impairment |
| topic | subcortical vascular cognitive impairment resting state ALE amplitude of low-frequency fluctuation regional homogeneity functional connectivity |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2021.649233/full |
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