The trend of disruption in the functional brain network topology of Alzheimer’s disease

被引：0

作者：

Alireza Fathian

Yousef Jamali

Mohammad Reza Raoufy

机构：

[1] Tarbiat Modares University,Biomathematics Laboratory, Department of Applied Mathematics, School of Mathematical Science

[2] Leibniz-Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute,Applied Systems Biology

[3] Tarbiat Modares University,Department of Physiology, Faculty of Medical Sciences

[4] UC San Francisco,undefined

[5] UC San Diego,undefined

[6] Mayo Clinic,undefined

[7] UC Berkeley,undefined

[8] UPenn,undefined

[9] USC,undefined

[10] UC Davis,undefined

[11] Brigham and Women’s Hospital/Harvard Medical School,undefined

[12] Indiana University,undefined

[13] Washington University St Louis,undefined

[14] Prevent Alzheimer’s Disease,undefined

[15] 2131,undefined

[16] Siemens,undefined

[17] University of Pittsburg,undefined

[18] Cornell University,undefined

[19] Albert Einstein College of Medicine of Yeshiva University,undefined

[20] AD Drug Discovery Foundation,undefined

[21] Acumen Pharmaceuticals,undefined

[22] Northwestern University,undefined

[23] National Institute of Mental Health,undefined

[24] Brown University,undefined

[25] Eli Lilly,undefined

[26] University of Washington,undefined

[27] University of London,undefined

[28] UCLA,undefined

[29] University of Michigan,undefined

[30] University of Utah,undefined

[31] Banner Alzheimer’s Institute,undefined

[32] UC Irvine,undefined

[33] National Institute on Aging,undefined

[34] Johns Hopkins University,undefined

[35] Richard Frank Consulting,undefined

[36] Oregon Health and Science University,undefined

[37] Baylor College of Medicine,undefined

[38] University of Alabama,undefined

[39] Mount Sinai School of Medicine,undefined

[40] Rush University Medical Center,undefined

[41] Wien Center,undefined

[42] New York University,undefined

[43] Duke University Medical Center,undefined

[44] University of Kentucky,undefined

[45] University of Rochester Medical Center,undefined

[46] University of Texas Southwestern Medical School,undefined

[47] Emory University,undefined

[48] University of Kansas,undefined

[49] Medical Center,undefined

[50] Mayo Clinic,undefined

来源：

Scientific Reports | / 12卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters the brain’s functional connectivity. Assessing these alterations has become a topic of increasing interest. However, a few studies have examined different stages of AD from a complex network perspective that cover different topological scales. This study used resting state fMRI data to analyze the trend of functional connectivity alterations from a cognitively normal (CN) state through early and late mild cognitive impairment (EMCI and LMCI) and to Alzheimer’s disease. The analyses had been done at the local (hubs and activated links and areas), meso (clustering, assortativity, and rich-club), and global (small-world, small-worldness, and efficiency) topological scales. The results showed that the trends of changes in the topological architecture of the functional brain network were not entirely proportional to the AD progression. There were network characteristics that have changed non-linearly regarding the disease progression, especially at the earliest stage of the disease, i.e., EMCI. Further, it has been indicated that the diseased groups engaged somatomotor, frontoparietal, and default mode modules compared to the CN group. The diseased groups also shifted the functional network towards more random architecture. In the end, the methods introduced in this paper enable us to gain an extensive understanding of the pathological changes of the AD process.

引用

共 50 条

[41] Disrupted structural and functional brain networks in Alzheimer's disease [J].

Dai, Zhengjia ;

Lin, Qixiang ;

Li, Tao ;

Wang, Xiao ;

Yuan, Huishu ;

Yu, Xin ;

He, Yong ;

Wang, Huali .

NEUROBIOLOGY OF AGING, 2019, 75 :71-82

[42] Changes in brain functional homogeneity in subjects with Alzheimer's Disease [J].

Volkow, N ;

Zhu, W ;

Felder, C ;

Mueller, K ;

Welsh, T ;

Wang, GJ ;

de Leon, M .

NEUROIMAGE, 2001, 13 (06) :S276-S276

[43] Distinct network topology in Alzheimer's disease and behavioral variant frontotemporal dementia [J].

Ng, Adeline Su Lyn ;

Wang, Juan ;

Ng, Kwun Kei ;

Chong, Joanna Su Xian ;

Qian, Xing ;

Lim, Joseph Kai Wei ;

Tan, Yi Jayne ;

Yong, Alisa Cui Wen ;

Chander, Russell Jude ;

Hameed, Shahul ;

Ting, Simon Kang Seng ;

Kandiah, Nagaendran ;

Zhou, Juan Helen .

ALZHEIMERS RESEARCH & THERAPY, 2021, 13 (01)

[44] Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia [J].

Adeline Su Lyn Ng ;

Juan Wang ;

Kwun Kei Ng ;

Joanna Su Xian Chong ;

Xing Qian ;

Joseph Kai Wei Lim ;

Yi Jayne Tan ;

Alisa Cui Wen Yong ;

Russell Jude Chander ;

Shahul Hameed ;

Simon Kang Seng Ting ;

Nagaendran Kandiah ;

Juan Helen Zhou .

Alzheimer's Research & Therapy, 13

[45] An abnormal resting-state functional brain network indicates progression towards Alzheimer's disease [J].

Jie Xiang ;

Hao Guo ;

Rui Cao ;

Hong Liang ;

Junjie Chen .

Neural Regeneration Research, 2013, 8 (30) :2789-2799

[46] Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine [J].

Bi, Xin ;

Zhao, Xiangguo ;

Huang, Hong ;

Chen, Deyang ;

Ma, Yuliang .

COGNITIVE COMPUTATION, 2020, 12 (03) :513-527

[47] Functional Brain Network Classification for Alzheimer’s Disease Detection with Deep Features and Extreme Learning Machine [J].

Xin Bi ;

Xiangguo Zhao ;

Hong Huang ;

Deyang Chen ;

Yuliang Ma .

Cognitive Computation, 2020, 12 :513-527

[48] Changes of brain functional network in Alzheimer's disease and frontotemporal dementia: a graph-theoretic analysis [J].

Wu, Shijing ;

Zhan, Ping ;

Wang, Guojing ;

Yu, Xiaohua ;

Liu, Hongyun ;

Wang, Weidong .

BMC NEUROSCIENCE, 2024, 25 (01)

[49] The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer?s disease [J].

Sendi, Mohammad S. E. ;

Zendehrouh, Elaheh ;

Ellis, Charles A. ;

Fu, Zening ;

Chen, Jiayu ;

Miller, Robyn L. ;

Mormino, Elizabeth C. ;

Salat, David H. ;

Calhoun, Vince D. .

NEUROIMAGE-CLINICAL, 2023, 37

[50] An abnormal resting-state functional brain network indicates progression towards Alzheimer's disease [J].

Xiang, Jie ;

Guo, Hao ;

Cao, Rui ;

Liang, Hong ;

Chen, Junjie .

NEURAL REGENERATION RESEARCH, 2013, 8 (30) :2789-2799

← 1 2 3 4 5 →