Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis
Background: Mild cognitive impairment (MCI) is regarded as a transitional stage between normal aging and Alzheimer's disease (AD) dementia. MCI individuals with deficits in executive function are at higher risk for progressing to AD dementia. Currently, there is no consistent result for alterat...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-10-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnagi.2020.578863/full |
| _version_ | 1828516495147139072 |
|---|---|
| author | Wenwen Xu Shanshan Chen Chen Xue Guanjie Hu Wenying Ma Wenzhang Qi Xingjian Lin Jiu Chen Jiu Chen |
| author_facet | Wenwen Xu Shanshan Chen Chen Xue Guanjie Hu Wenying Ma Wenzhang Qi Xingjian Lin Jiu Chen Jiu Chen |
| author_sort | Wenwen Xu |
| collection | DOAJ |
| description | Background: Mild cognitive impairment (MCI) is regarded as a transitional stage between normal aging and Alzheimer's disease (AD) dementia. MCI individuals with deficits in executive function are at higher risk for progressing to AD dementia. Currently, there is no consistent result for alterations in the executive control network (ECN) in MCI, which makes early prediction of AD conversion difficult. The aim of the study was to find functional MRI-specific alterations in ECN in MCI patients by expounding on the convergence of brain regions with functional abnormalities in ECN.Methods: We searched PubMed, Embase, and Web of Science to identify neuroimaging studies using methods including the amplitude of low frequency fluctuation/fractional amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in MCI patients. Based on the Activation Likelihood Estimation algorithm, the coordinate-based meta-analysis and functional meta-analytic connectivity modeling were conducted.Results: A total of 25 functional imaging studies with MCI patients were included in a quantitative meta-analysis. By summarizing the included articles, we obtained specific brain region changes, mainly including precuneus, cuneus, lingual gyrus, middle frontal gyrus, posterior cingulate cortex, and cerebellum posterior lobe, in the ECN based on these three methods. The specific abnormal brain regions indicated that there were interactions between the ECN and other networks.Conclusions: This study confirms functional imaging specific abnormal markers in ECN and its interaction with other networks in MCI. It provides novel targets and pathways for individualized and precise interventions to delay the progression of MCI to AD. |
| first_indexed | 2024-12-11T18:28:48Z |
| format | Article |
| id | doaj.art-75c04abb51cc4a5bb44b0da2d51a7f38 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-11T18:28:48Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-75c04abb51cc4a5bb44b0da2d51a7f382022-12-22T00:54:59ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652020-10-011210.3389/fnagi.2020.578863578863Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-AnalysisWenwen Xu0Shanshan Chen1Chen Xue2Guanjie Hu3Wenying Ma4Wenzhang Qi5Xingjian Lin6Jiu Chen7Jiu Chen8Department 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 Neurology, The Affiliated Brain Hospital of 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, ChinaInstitute of Brain Functional Imaging, Nanjing Medical University, Nanjing, ChinaInstitute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, ChinaBackground: Mild cognitive impairment (MCI) is regarded as a transitional stage between normal aging and Alzheimer's disease (AD) dementia. MCI individuals with deficits in executive function are at higher risk for progressing to AD dementia. Currently, there is no consistent result for alterations in the executive control network (ECN) in MCI, which makes early prediction of AD conversion difficult. The aim of the study was to find functional MRI-specific alterations in ECN in MCI patients by expounding on the convergence of brain regions with functional abnormalities in ECN.Methods: We searched PubMed, Embase, and Web of Science to identify neuroimaging studies using methods including the amplitude of low frequency fluctuation/fractional amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in MCI patients. Based on the Activation Likelihood Estimation algorithm, the coordinate-based meta-analysis and functional meta-analytic connectivity modeling were conducted.Results: A total of 25 functional imaging studies with MCI patients were included in a quantitative meta-analysis. By summarizing the included articles, we obtained specific brain region changes, mainly including precuneus, cuneus, lingual gyrus, middle frontal gyrus, posterior cingulate cortex, and cerebellum posterior lobe, in the ECN based on these three methods. The specific abnormal brain regions indicated that there were interactions between the ECN and other networks.Conclusions: This study confirms functional imaging specific abnormal markers in ECN and its interaction with other networks in MCI. It provides novel targets and pathways for individualized and precise interventions to delay the progression of MCI to AD.https://www.frontiersin.org/article/10.3389/fnagi.2020.578863/fullmild cognitive impairmentresting stateexecutive control networkthe amplitude of low frequency fluctuationregional homogeneityfunctional connectivity |
| spellingShingle | Wenwen Xu Shanshan Chen Chen Xue Guanjie Hu Wenying Ma Wenzhang Qi Xingjian Lin Jiu Chen Jiu Chen Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis Frontiers in Aging Neuroscience mild cognitive impairment resting state executive control network the amplitude of low frequency fluctuation regional homogeneity functional connectivity |
| title | Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis |
| title_full | Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis |
| title_fullStr | Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis |
| title_full_unstemmed | Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis |
| title_short | Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis |
| title_sort | functional mri specific alterations in executive control network in mild cognitive impairment an ale meta analysis |
| topic | mild cognitive impairment resting state executive control network the amplitude of low frequency fluctuation regional homogeneity functional connectivity |
| url | https://www.frontiersin.org/article/10.3389/fnagi.2020.578863/full |
| work_keys_str_mv | AT wenwenxu functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT shanshanchen functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT chenxue functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT guanjiehu functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT wenyingma functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT wenzhangqi functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT xingjianlin functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT jiuchen functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis AT jiuchen functionalmrispecificalterationsinexecutivecontrolnetworkinmildcognitiveimpairmentanalemetaanalysis |