机构:[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China神经科系统神经内科首都医科大学宣武医院[2]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Geriatric Cognitive Disorders, Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China, Beijing, China[3]School of Biological Science and Medical Engineering, Beihang University, Beijing, China[4]College of Integrated Traditional Chinese and Western Medicine, Changchun University of Chinese Medicine, Changchun, China[5] Institute of High Energy Physics, Chinese Academy of Sciences, Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China, Beijing, China[6]Center for Cognitive Disorders, Beijing Geriatric Hospital, Beijing, China
Background: Changes in the metabolic and structural brain networks in mild cognitive impairment (MCI) have been widely researched. However, few studies have compared the differences in the topological properties of the metabolic and structural brain networks in patients with MCI.Methods: We analyzedmagnetic resonance imaging (MRI) and fluoro-deoxyglucose positron emission tomography (FDG-PET) data of 137 patients with MCI and 80 healthy controls (HCs). The HC group data comes from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The permutation test was used to compare the network parameters (characteristic path length, clustering coefficient, local efficiency, and global efficiency) between the two groups. Partial Pearson's correlation analysis was used to calculate the correlations of the changes in gray matter volume and glucose intake in the key brain regions in MCI with the Alzheimer's Disease Assessment Scale-Cognitive (ADAS-cog) sub-item scores.Results: Significant changes in the brain network parameters (longer characteristic path length, larger clustering coefficient, and lower local efficiency and global efficiency) were greater in the structural network than in the metabolic network (longer characteristic path length) in MCI patients than in HCs. We obtained the key brain regions (left globus pallidus, right calcarine fissure and its surrounding cortex, left lingual gyrus) by scanning the hubs. The volume of gray matter atrophy in the left globus pallidus was significantly positively correlated with comprehension of spoken language (p = 0.024) and word-finding difficulty in spontaneous speech item scores (p = 0.007) in the ADAS-cog. Glucose intake in the three key brain regions was significantly negatively correlated with remembering test instructions items in ADAS-cog (p = 0.020, p = 0.014, and p = 0.008, respectively).Conclusion: Structural brain networks showed more changes than metabolic brain networks in patients with MCI. Some brain regions with significant changes in betweenness centrality in both structural and metabolic networks were associated with MCI.
基金:
This study was supported by the National Key R&D
Program of China (No. 2017YFC1310103), Beijing Municipal
Administration of Hospitals Clinical Medicine Development of
Special Funding Support (No. ZYLX201837; ZYLX201834), and
Beijing Municipal Natural Science Foundation (No. 7192192).
第一作者机构:[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China[2]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Geriatric Cognitive Disorders, Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China, Beijing, China
共同第一作者:
通讯作者:
通讯机构:[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China[2]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Geriatric Cognitive Disorders, Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China, Beijing, China
推荐引用方式(GB/T 7714):
Cuibai Wei,Shuting Gong,Qi Zou,et al.A Comparative Study of Structural and Metabolic Brain Networks in Patients With Mild Cognitive Impairment[J].FRONTIERS IN AGING NEUROSCIENCE.2021,13:doi:10.3389/fnagi.2021.774607.
APA:
Cuibai Wei,Shuting Gong,Qi Zou,Wei Zhang,Xuechun Kang...&Baoci Shan.(2021).A Comparative Study of Structural and Metabolic Brain Networks in Patients With Mild Cognitive Impairment.FRONTIERS IN AGING NEUROSCIENCE,13,
MLA:
Cuibai Wei,et al."A Comparative Study of Structural and Metabolic Brain Networks in Patients With Mild Cognitive Impairment".FRONTIERS IN AGING NEUROSCIENCE 13.(2021)