Literature DB >> 31011952

Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks.

Jiu Chen1,2, Hao Shu1, Zan Wang1, Yafeng Zhan3, Duan Liu1, Yong Liu4,5,6,7, Zhijun Zhang8,9.   

Abstract

Remitted late-life depression (rLLD) and amnestic mild cognitive impairment (aMCI) are both associated with a high risk of developing Alzheimer's disease (AD). Neurodegeneration is considered to spread within pre-existing networks. To investigate whether, in the healthy brain, there was a pre-existing cross-network between the intrinsic networks that are vulnerable to rLLD and aMCI. We performed functional connectivity analyses based on brain areas with the greatest brain neuronal activity differences in 55 rLLD, 87 aMCI, and 114 healthy controls. Intrinsic networks that were differentially vulnerable to rLLD and aMCI converged onto the sensory-motor network (SMN) in the healthy brain. These regions in the SMN within the aMCI- and rLLD-vulnerable networks played different roles in the cognitive functions. This study identifies the SMN as a cross-network between rLLD- and aMCI-vulnerable networks. The common susceptibility of these diseases to AD is likely due to the breakdown of the cross-network. The results further suggest that interventions targeting the amelioration of sensory-motor deficits in the early course of disease in individuals with AD risk may enhance patient function as AD pathology progresses.

Entities:  

Keywords:  Amnestic mild cognitive impairment; Functional connectivity; Remitted late-life depression; Sensory-motor network

Mesh:

Year:  2020        PMID: 31011952     DOI: 10.1007/s11682-019-00098-4

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  4 in total

1.  Structural and Functional Reorganization Within Cognitive Control Network Associated With Protection of Executive Function in Patients With Unilateral Frontal Gliomas.

Authors:  Yong Liu; Guanjie Hu; Yun Yu; Zijuan Jiang; Kun Yang; Xinhua Hu; Zonghong Li; Dongming Liu; Yuanjie Zou; Hongyi Liu; Jiu Chen
Journal:  Front Oncol       Date:  2020-05-27       Impact factor: 6.244

2.  Altered Insular Subregional Connectivity Associated With Cognitions for Distinguishing the Spectrum of Pre-clinical Alzheimer's Disease.

Authors:  Siyu Wang; Haiting Sun; Guanjie Hu; Chen Xue; Wenzhang Qi; Jiang Rao; Fuquan Zhang; Xiangrong Zhang; Jiu Chen
Journal:  Front Aging Neurosci       Date:  2021-02-10       Impact factor: 5.750

3.  Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.

Authors:  Xiang Lu; Jiu Chen; Hao Shu; Zan Wang; Yong-Mei Shi; Yong-Gui Yuan; Chun-Ming Xie; Wen-Xiang Liao; Fan Su; Ya-Chen Shi; Zhi-Jun Zhang
Journal:  CNS Neurosci Ther       Date:  2020-04-03       Impact factor: 5.243

4.  Distinct Disruptive Patterns of Default Mode Subnetwork Connectivity Across the Spectrum of Preclinical Alzheimer's Disease.

Authors:  Chen Xue; Baoyu Yuan; Yingying Yue; Jiani Xu; Siyu Wang; Meilin Wu; Nanxi Ji; Xingzhi Zhou; Yilin Zhao; Jiang Rao; Wenjie Yang; Chaoyong Xiao; Jiu Chen
Journal:  Front Aging Neurosci       Date:  2019-11-13       Impact factor: 5.750

  4 in total

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