Literature DB >> 22695315

Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: a resting-state fMRI study.

Zhenyu Liu1, Yumei Zhang, Hao Yan, Lijun Bai, Ruwei Dai, Wenjuan Wei, Chongguang Zhong, Ting Xue, Hu Wang, Yuanyuan Feng, Youbo You, Xinghu Zhang, Jie Tian.   

Abstract

Recent studies have shown that cognitive and memory decline in patients with Alzheimer's disease (AD) is coupled with losses of small-world attributes. However, few studies have investigated the characteristics of the whole brain networks in individuals with mild cognitive impairment (MCI). In this functional magnetic resonance imaging (fMRI) study, we investigated the topological properties of the whole brain networks in 18 AD patients, 16 MCI patients, and 18 age-matched healthy subjects. Among the three groups, AD patients showed the longest characteristic path lengths and the largest clustering coefficients, while the small-world measures of MCI networks exhibited intermediate values. The finding was not surprising, given that MCI is considered to be the prodromal stage of AD. Compared with normal controls, MCI patients showed decreased nodal centrality mainly in the medial temporal lobe as well as increased nodal centrality in the occipital regions. In addition, we detected increased nodal centrality in the medial temporal lobe and frontal gyrus, and decreased nodal centrality mainly in the amygdala in MCI patients compared with AD patients. The results suggested a widespread rewiring in AD and MCI patients. These findings concerning AD and MCI may be an integrated reflection of reorganization of the brain networks accompanied with the cognitive decline that may lead to AD.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22695315     DOI: 10.1016/j.pscychresns.2012.03.002

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  45 in total

1.  Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.

Authors:  Biao Jie; Mingxia Liu; Dinggang Shen
Journal:  Med Image Anal       Date:  2018-04-04       Impact factor: 8.545

2.  Disrupted small world topology and modular organisation of functional networks in late-life depression with and without amnestic mild cognitive impairment.

Authors:  Wenjun Li; B Douglas Ward; Xiaolin Liu; Gang Chen; Jennifer L Jones; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-11-28       Impact factor: 10.154

3.  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 4.  Network functional connectivity and whole-brain functional connectomics to investigate cognitive decline in neurodegenerative conditions.

Authors:  O Dipasquale; Mara Cercignani
Journal:  Funct Neurol       Date:  2016 Oct/Dec

Review 5.  Disruption of resting functional connectivity in Alzheimer's patients and at-risk subjects.

Authors:  Lenka Krajcovicova; Radek Marecek; Michal Mikl; Irena Rektorova
Journal:  Curr Neurol Neurosci Rep       Date:  2014-10       Impact factor: 5.081

6.  A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.

Authors:  Yan Tan; Shuai-Tong Zhang; Jing-Wei Wei; Di Dong; Xiao-Chun Wang; Guo-Qiang Yang; Jie Tian; Hui Zhang
Journal:  Eur Radiol       Date:  2019-04-10       Impact factor: 5.315

7.  Preserved Structural Network Organization Mediates Pathology Spread in Alzheimer's Disease Spectrum Despite Loss of White Matter Tract Integrity.

Authors:  Fon Powell; Duygu Tosun; Roksana Sadeghi; Michael Weiner; Ashish Raj
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

8.  Strength and Similarity Guided Group-level Brain Functional Network Construction for MCI Diagnosis.

Authors:  Yu Zhang; Han Zhang; Xiaobo Chen; Mingxia Liu; Xiaofeng Zhu; Seong-Whan Lee; Dinggang Shen
Journal:  Pattern Recognit       Date:  2018-12-07       Impact factor: 7.740

9.  Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia.

Authors:  Lucas Sedeño; Olivier Piguet; Sofía Abrevaya; Horacio Desmaras; Indira García-Cordero; Sandra Baez; Laura Alethia de la Fuente; Pablo Reyes; Sicong Tu; Sebastian Moguilner; Nicolas Lori; Ramon Landin-Romero; Diana Matallana; Andrea Slachevsky; Teresa Torralva; Dante Chialvo; Fiona Kumfor; Adolfo M García; Facundo Manes; John R Hodges; Agustin Ibanez
Journal:  Hum Brain Mapp       Date:  2017-05-05       Impact factor: 5.038

10.  Hyper-connectivity of functional networks for brain disease diagnosis.

Authors:  Biao Jie; Chong-Yaw Wee; Dinggang Shen; Daoqiang Zhang
Journal:  Med Image Anal       Date:  2016-03-24       Impact factor: 8.545

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