Assessment of Functional Characteristics of Amnestic Mild Cognitive Impairment and Alzheimer's Disease Using Various Methods of Resting-State FMRI Analysis

被引:45
|
作者
Cha, Jungho [1 ]
Hwang, Jung-Min [1 ]
Jo, Hang Joon [2 ]
Seo, Sang Won [3 ]
Na, Duk L. [3 ]
Lee, Jong-Min [1 ]
机构
[1] Hanyang Univ, Dept Biomed Engn, Seoul 133791, South Korea
[2] NIMH, Sect Funct Imaging Methods, Lab Brain & Cognit, NIH, Bethesda, MD 20892 USA
[3] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Neurol, Seoul 135710, South Korea
基金
新加坡国家研究基金会;
关键词
LOW-FREQUENCY FLUCTUATION; DEFAULT MODE; REGIONAL HOMOGENEITY; BASE-LINE; CONNECTIVITY; NETWORK; BRAIN; MRI; AMPLITUDE; PATTERNS;
D O I
10.1155/2015/907464
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Resting-state functional magnetic resonance imaging (RS FMRI) has been widely used to analyze functional alterations in amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) patients. Although many clinical studies of aMCI and AD patients using RS FMRI have been undertaken, conducting a meta-analysis has not been easy because of seed selection bias by the investigators. The purpose of our study was to investigate the functional differences in aMCI and AD patients compared with healthy subjects in a meta-analysis. Thus, a multimethod approach using regional homogeneity, amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), and global brain connectivity was used to investigate differences between three groups based on previously published data. According to the choice of RS FMRI approach used, the patterns of functional alteration were slightly different. Nevertheless, patients with aMCI and AD displayed consistently decreased functional characteristics with all approaches. All approaches showed that the functional characteristics in the left parahippocampal gyrus were decreased in AD patients compared with healthy subjects. Although some regions were slightly different according to the different RS FMRI approaches, patients with aMCI and AD showed a consistent pattern of decreased functional characteristics with all approaches.
引用
收藏
页数:12
相关论文
共 50 条
  • [42] Resting-State Functional Connectivity Difference in Alzheimer's Disease and Mild Cognitive Impairment Using Threshold-Free Cluster Enhancement
    Lama, Ramesh Kumar
    Kwon, Goo-Rak
    DIAGNOSTICS, 2023, 13 (19)
  • [43] Altered functional connectivity of the marginal division in Parkinson's disease with mild cognitive impairment: A pilot resting-state fMRI study
    Li, Ming-ge
    Chen, Yuan-yuan
    Chen, Zhi-ye
    Feng, Jie
    Liu, Meng-yu
    Lou, Xin
    Shu, Si-yun
    Wang, Zhen-fu
    Ma, Lin
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 50 (01) : 183 - 192
  • [44] Abnormal resting-state functional connectivity of posterior cingulate cortex in amnestic type mild cognitive impairment
    Bai, Feng
    Watson, David R.
    Yu, Hui
    Shi, Yongmei
    Yuan, Yonggui
    Zhang, Zhijun
    BRAIN RESEARCH, 2009, 1302 : 167 - 174
  • [45] Effective Connectivity Evaluation of Resting-State Brain Networks in Alzheimer's Disease, Amnestic Mild Cognitive Impairment, and Normal Aging: An Exploratory Study
    Mohammadian, Fatemeh
    Noroozian, Maryam
    Sadeghi, Arash Zare
    Malekian, Vahid
    Saffar, Azam
    Talebi, Mahsa
    Hashemi, Hasan
    Salari, Hanieh Mobarak
    Samadi, Fardin
    Sodaei, Forough
    Rad, Hamidreza Saligheh
    BRAIN SCIENCES, 2023, 13 (02)
  • [46] Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment
    Bi, Xia-an
    Sun, Qi
    Zhao, Junxia
    Xu, Qian
    Wang, Liqin
    FRONTIERS IN NEUROSCIENCE, 2018, 12
  • [47] Changes in Resting-State Functional Connectivity of Cerebellum in Amnestic Mild Cognitive Impairment and Alzheimer's Disease: A Case-Control Study (vol 15, 596221, 2021)
    Zhou, Zhi
    Zhu, Rui
    Shao, Wen
    Zhang, Shu-juan
    Wang, Lei
    Ding, Xue-jiao
    Peng, Dan-tao
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2021, 15
  • [48] Functional Disconnection and Compensation in Mild Cognitive Impairment: Evidence from DLPFC Connectivity Using Resting-State fMRI
    Liang, Peipeng
    Wang, Zhiqun
    Yang, Yanhui
    Jia, Xiuqin
    Li, Kuncheng
    PLOS ONE, 2011, 6 (07):
  • [49] Longitudinal stability of resting-state networks in normal aging, mild cognitive impairment, and Alzheimer's disease
    Takao, Hidemasa
    Amemiya, Shiori
    Abe, Osamu
    MAGNETIC RESONANCE IMAGING, 2021, 82 : 55 - 73
  • [50] Resting-state fMRI in Parkinson's disease patients with cognitive impairment: A meta-analysis
    Wolters, Amee F.
    van de Weijer, Sjors C. F.
    Leentjens, Albert F. G.
    Duits, Annelien A.
    Jacobs, Heidi I. L.
    Kuijf, Mark L.
    PARKINSONISM & RELATED DISORDERS, 2019, 62 : 16 - 27