Literature DB >> 27247279

Changes of intranetwork and internetwork functional connectivity in Alzheimer's disease and mild cognitive impairment.

Haoze Zhu1, Peng Zhou, Sarael Alcauter, Yuanyuan Chen, Hongbao Cao, Miao Tian, Dong Ming, Hongzhi Qi, Xuemin Wang, Xin Zhao, Feng He, Hongyan Ni, Wei Gao.   

Abstract

OBJECTIVE: Alzheimer's disease (AD) is a serious neurodegenerative disorder characterized by deficits of working memory, attention, language and many other cognitive functions. Although different stages of the disease are relatively well characterized by clinical criteria, stage-specific pathological changes in the brain remain relatively poorly understood, especially at the level of large-scale functional networks. In this study, we aimed to characterize the potential disruptions of large-scale functional brain networks based on a sample including amnestic mild cognition impairment (aMCI) and AD patients to help delineate the underlying stage-dependent AD pathology. APPROACH: We sought to identify the neural connectivity mechanisms of aMCI and AD through examination of both intranetwork and internetwork interactions among four of the brain's key networks, namely dorsal attention network (DAN), default mode network (DMN), executive control network (ECN) and salience network (SAL). We analyzed functional connectivity based on resting-state functional magnetic resonance imaging (rs-fMRI) data from 25 Alzheimer's disease patients, 20 aMCI patients and 35 elderly normal controls (NC). MAIN
RESULTS: Intranetwork functional disruptions within the DAN and ECN were detected in both aMCI and AD patients. Disrupted intranetwork connectivity of DMN and anti-correlation between DAN and DMN were observed in AD patients. Moreover, aMCI-specific alterations in the internetwork functional connectivity of SAL were observed. SIGNIFICANCE: Our results confirmed previous findings that AD pathology was related to dysconnectivity both within and between resting-state networks but revealed more spatial details. Moreover, the SAL network, reportedly flexibly coupling either with the DAN or DMN networks during different brain states, demonstrated interesting alterations specifically in the early stage of the disease.

Entities:  

Mesh:

Year:  2016        PMID: 27247279     DOI: 10.1088/1741-2560/13/4/046008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  18 in total

1.  Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.

Authors:  Lisa T Eyler; Jeremy A Elman; Sean N Hatton; Sarah Gough; Anna K Mischel; Donald J Hagler; Carol E Franz; Anna Docherty; Christine Fennema-Notestine; Nathan Gillespie; Daniel Gustavson; Michael J Lyons; Michael C Neale; Matthew S Panizzon; Anders M Dale; William S Kremen
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

Review 2.  Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.

Authors:  Danielle S Bassett; Ankit N Khambhati; Scott T Grafton
Journal:  Annu Rev Biomed Eng       Date:  2017-03-27       Impact factor: 9.590

3.  Determination of β-amyloid oligomer using electrochemiluminescent aptasensor with signal enhancement by AuNP/MOF nanocomposite.

Authors:  Lixiu Yin; Yueju Wang; Rong Tan; Huiling Li; Yifeng Tu
Journal:  Mikrochim Acta       Date:  2021-01-26       Impact factor: 5.833

4.  A Triple Network Connectivity Study of Large-Scale Brain Systems in Cognitively Normal APOE4 Carriers.

Authors:  Xia Wu; Qing Li; Xinyu Yu; Kewei Chen; Adam S Fleisher; Xiaojuan Guo; Jiacai Zhang; Eric M Reiman; Li Yao; Rui Li
Journal:  Front Aging Neurosci       Date:  2016-09-28       Impact factor: 5.750

5.  Resting state brain networks in the prairie vole.

Authors:  Juan J Ortiz; Wendy Portillo; Raul G Paredes; Larry J Young; Sarael Alcauter
Journal:  Sci Rep       Date:  2018-01-19       Impact factor: 4.379

6.  Gray matter structural covariance networks changes along the Alzheimer's disease continuum.

Authors:  Kaicheng Li; Xiao Luo; Qingze Zeng; Peiyu Huang; Zhujing Shen; Xiaojun Xu; Jingjing Xu; Chao Wang; Jiong Zhou; Minming Zhang
Journal:  Neuroimage Clin       Date:  2019-04-17       Impact factor: 4.881

Review 7.  Functional Neural Correlates of Anosognosia in Mild Cognitive Impairment and Alzheimer's Disease: a Systematic Review.

Authors:  Jaime D Mondragón; Natasha M Maurits; Peter P De Deyn
Journal:  Neuropsychol Rev       Date:  2019-06-03       Impact factor: 7.444

8.  Dysfunctional interactions between the default mode network and the dorsal attention network in subtypes of amnestic mild cognitive impairment.

Authors:  Junkai Wang; Jianghong Liu; Zhiqun Wang; Pei Sun; Kuncheng Li; Peipeng Liang
Journal:  Aging (Albany NY)       Date:  2019-10-24       Impact factor: 5.682

9.  Differences Changes in Cerebellar Functional Connectivity Between Mild Cognitive Impairment and Alzheimer's Disease: A Seed-Based Approach.

Authors:  Fanyu Tang; Donglin Zhu; Wenying Ma; Qun Yao; Qian Li; Jingping Shi
Journal:  Front Neurol       Date:  2021-06-17       Impact factor: 4.003

10.  Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy.

Authors:  Xin Huang; Yan Tong; Chen-Xing Qi; Han-Dong Dan; Qin-Qin Deng; Yin Shen
Journal:  Neural Plast       Date:  2020-01-22       Impact factor: 3.599

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