中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment

文献类型:期刊论文

作者Chen J1; Shu H1; Liao WX1; Xu L4,5; Liu Y[*]2,6,7; Zhang ZJ[*]1,8; Wang Z1; Zhan YF2,3; Liu D1
刊名CORTEX
出版日期2016
卷号83期号:X页码:194-211
关键词Amnestic mild cognitive impairment Internetwork Intranetwork Remitted late-life depression fMRI
通讯作者yliu@nlpr.ia.ac.cn ; janemengzhang@vip.163.co
合作状况其它
英文摘要

Abstract

INTRODUCTION:

Both remitted late-life depression (rLLD) and amnesiac mild cognitive impairment (aMCI) alter brain functions in specific regions of the brain. They are also disconnection syndromes that are associated with a high risk of developing Alzheimer's disease (AD).

OBJECTIVES:

Resting-state functional connectivity magnetic resonance imaging (rs-fcMRI) was performed to define the shared and distinct aberrant patterns in intranetwork and internetwork connectivity between rLLD and aMCI and to determine how knowledge of these differences might contribute to our essential understanding of the altered sequences involved in functional systems both inside and outside of resting-state networks.

METHODS:

We used rs-fcMRI to investigate in five functionally well-defined brain networks in two large cohorts of subjects at high risk for AD (55 rLLD and 87 aMCI) and 114 healthy controls (HC).

RESULTS:

A reduced degree of functional connectivity was observed in the bilateral inferior temporal cortex and supplemental motor area, and reduced correlations were observed within the sensory-motor network (SMN) and in the default mode network (DMN)-control network (CON) pair in the rLLD group than the HC group. The aMCI group showed only focal functional changes in regions of interest pairs, a trend toward increased correlations within the salience network and SMN, and a trend toward a reduced correlation in the DMN-CON pair. Furthermore, the rLLD group exhibited more severely altered functional connectivity than the aMCI group. Interestingly, these altered connectivities were associated with specific multi-domain cognitive and behavioral functions in both rLLD and aMCI. The degree of functional connectivity in the right primary auditory areas was negatively correlated with Hamilton Depression Scale scores in rLLD. Notably, altered connectivity between the right middle temporal cortex and the posterior cerebellum was negatively correlated with Mattis Dementia Rating Scale scores in both rLLD and aMCI.

CONCLUSIONS:

These results demonstrate that rLLD and aMCI may share convergent and divergent aberrant intranetwork and internetwork connectivity patterns as a potential continuous spectrum of the same disease. They further suggest that dysfunctions in the right specific temporal-cerebellum neural circuit may contribute to the similarities observed in rLLD and aMCI conversion to AD.


收录类别SCI
资助信息This study was supported by the National Natural Science Foundation of China (Nos. 81420108012; 91432000; 81671046; 81571062; 81500919), the Key Program for Clinical Medicine and Science and Technology: Jiangsu Province Clinical Medi- cal Research Center (Nos. BL2013025; BL2014077), the Natural Science Foundation of Beijing (No. 7152096), the NationalBasic Research Program of China (No. 2013CB835103), the Strategic Priority Research Program of Chinese Academy of Science (No. XDB02020002), the Fundamental Research Funds for the Central Universities and the Scientific Research Innovation Program for College and University Graduates of Jiangsu Province (No. KYZZ15_0063), and the Scientific Research Foundation of the Graduate School of Southeast University (No. YBJJ1538).
语种英语
源URL[http://159.226.149.26:8080/handle/152453/10425]  
专题昆明动物研究所_学习记忆的分子神经机制
昆明动物研究所_动物模型与人类重大疾病机理重点实验室
作者单位1.Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
2.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
3.School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
4.Key Laboratory of Animal Models and Human Disease Mechanisms, Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
5.Graduate School of Chinese Academy of Sciences, Beijing, China
6.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, Chin
7.Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
8.Department of Psychology, Xinxiang Medical University, Xinxiang, Henan, China
推荐引用方式
GB/T 7714
Chen J,Shu H,Liao WX,et al. Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment[J]. CORTEX,2016,83(X):194-211.
APA Chen J.,Shu H.,Liao WX.,Xu L.,Liu Y[*].,...&Liu D.(2016).Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment.CORTEX,83(X),194-211.
MLA Chen J,et al."Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment".CORTEX 83.X(2016):194-211.

入库方式: OAI收割

来源:昆明动物研究所

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