Literature DB >> 27060962

Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer's Disease.

Yafeng Zhan1,2, Jianhua Ma1, Aaron F Alexander-Bloch3, Kaibin Xu2,4, Yue Cui2,4, Qianjin Feng1, Tianzi Jiang2,4,5,6, Yong Liu2,4.   

Abstract

Alzheimer's disease (AD) is associated with abnormal resting-state network (RSN) architecture of the default mode network (DMN), the dorsal attention network (DAN), the executive control network (CON), the salience network (SAL), and the sensory-motor network (SMN). However, little is known about the disrupted intra- and inter-network architecture in mild cognitive impairment (MCI). Here, we employed a priori defined regions of interest to investigate the intra- and inter-network functional connectivity profiles of these RSNs in longitudinal participants, including normal controls (n = 23), participants with early MCI (n = 26), and participants with late MCI (n = 19). We found longitudinal alterations of functional connectivity within the DMN, where they were correlated with variation in cognitive ability. The SAL as well as the interaction between the DMN and the SAL were disrupted in MCI. Furthermore, our results demonstrate that longitudinal alterations of functional connectivity are more profound in earlier stages as opposed to later stages of the disease. The increased severity of cognitive impairment is associated with increasingly altered RSN connectivity patterns, suggesting that disruptions in functional connectivity may contribute to cognitive dysfunction and may represent a potential biomarker of impaired cognitive ability in MCI. Earlier prevention and treatment may help to delay disease progression to AD.

Entities:  

Keywords:  Default mode network; early mild cognitive impairment; late mild cognitive impairment; resting-state network; salience network

Mesh:

Substances:

Year:  2016        PMID: 27060962     DOI: 10.3233/JAD-160008

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  20 in total

1.  Intrinsic neurocognitive network connectivity differences between normal aging and mild cognitive impairment are associated with cognitive status and age.

Authors:  Margot D Sullivan; John A E Anderson; Gary R Turner; R Nathan Spreng
Journal:  Neurobiol Aging       Date:  2018-10-11       Impact factor: 4.673

2.  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

3.  Functional reorganization of intra- and internetwork connectivity in major depressive disorder after electroconvulsive therapy.

Authors:  Jiaojian Wang; Qiang Wei; Lijie Wang; Hongyu Zhang; Tongjian Bai; Li Cheng; Yanghua Tian; Kai Wang
Journal:  Hum Brain Mapp       Date:  2017-12-20       Impact factor: 5.038

4.  Classification of early-MCI patients from healthy controls using evolutionary optimization of graph measures of resting-state fMRI, for the Alzheimer's disease neuroimaging initiative.

Authors:  Jafar Zamani; Ali Sadr; Amir-Homayoun Javadi
Journal:  PLoS One       Date:  2022-06-21       Impact factor: 3.752

5.  Proximal improvement and higher-order resting state network change after multidomain cognitive training intervention in healthy older adults.

Authors:  Cheshire Hardcastle; Hanna K Hausman; Jessica N Kraft; Alejandro Albizu; Andrew O'Shea; Emanuel M Boutzoukas; Nicole D Evangelista; Kailey Langer; Emily J Van Etten; Pradyumna K Bharadwaj; Hyun Song; Samantha G Smith; Eric Porges; Steven T DeKosky; Georg A Hishaw; Samuel S Wu; Michael Marsiske; Ronald Cohen; Gene E Alexander; Adam J Woods
Journal:  Geroscience       Date:  2022-03-08       Impact factor: 7.581

6.  Cognitive complaints in older adults at risk for Alzheimer's disease are associated with altered resting-state networks.

Authors:  Joey A Contreras; Joaquín Goñi; Shannon L Risacher; Enrico Amico; Karmen Yoder; Mario Dzemidzic; John D West; Brenna C McDonald; Martin R Farlow; Olaf Sporns; Andrew J Saykin
Journal:  Alzheimers Dement (Amst)       Date:  2016-12-22

7.  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

8.  Altered Intranetwork and Internetwork Functional Connectivity in Type 2 Diabetes Mellitus With and Without Cognitive Impairment.

Authors:  Shi-Qi Yang; Zhi-Peng Xu; Ying Xiong; Ya-Feng Zhan; Lin-Ying Guo; Shun Zhang; Ri-Feng Jiang; Yi-Hao Yao; Yuan-Yuan Qin; Jian-Zhi Wang; Yong Liu; Wen-Zhen Zhu
Journal:  Sci Rep       Date:  2016-09-13       Impact factor: 4.379

9.  Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study.

Authors:  Thamires Naela Cardoso Magalhães; Christian Luiz Baptista Gerbelli; Luciana Ramalho Pimentel-Silva; Brunno Machado de Campos; Thiago Junqueira Ribeiro de Rezende; Liara Rizzi; Helena Passarelli Giroud Joaquim; Leda Leme Talib; Orestes Vicente Forlenza; Fernando Cendes; Marcio Luiz Figueredo Balthazar
Journal:  Neuroradiology       Date:  2021-07-19       Impact factor: 2.804

10.  Distinctive Association of the Functional Connectivity of the Posterior Cingulate Cortex on Memory Performances in Early and Late Amnestic Mild Cognitive Impairment Patients.

Authors:  Dong Woo Kang; Sheng-Min Wang; Yoo Hyun Um; Hae-Ran Na; Nak-Young Kim; Chang Uk Lee; Hyun Kook Lim
Journal:  Front Aging Neurosci       Date:  2021-07-01       Impact factor: 5.750

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