当前位置: 首页 > 详情页

Regional homogeneity, functional connectivity and imaging markers of Alzheimer's disease: A review of resting-state fMRI studies

文献详情

资源类型:
WOS体系:

收录情况: ◇ SCIE

机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [b]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [c]McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada [d]Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, United Kingdom
出处:
ISSN:

关键词: Alzheimer's disease resting-state fMRI ReHo functional connectivity biomarkers

摘要:
Resting-state functional magnetic resonance imaging (fMRI), a promising technique for measuring brain activities during rest, has attracted much attention in the past few years. In this paper, we review recent progress on the study of Alzheimer's disease (AD) based on resting-state fMRI. First, we briefly introduce some AD-related studies from other groups. Then we describe our AD-related work in detail from three aspects: (1) alterations in regional homogeneity (ReHo) of the fMRI signal in the resting state, (2) altered patterns of functional connectivity from regions of interest and whole brain analyses, and (3) discriminative analyses based on classification features from resting-state fMRI data for differentiating AD patients from healthy elders. Finally, we summarize the main results and some prospects for future work. (c) 2008 Published by Elsevier Ltd.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2007]版:
大类 | 2 区 医学
最新[2023]版:
大类 | 3 区 心理学
小类 | 2 区 行为科学 3 区 神经科学 3 区 心理学:实验
JCR分区:
出版当年[2006]版:
Q1 NEUROSCIENCES Q1 PSYCHOLOGY, EXPERIMENTAL Q1 BEHAVIORAL SCIENCES
最新[2023]版:
Q3 PSYCHOLOGY, EXPERIMENTAL Q3 BEHAVIORAL SCIENCES Q3 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2006版] 出版当年五年平均 出版前一年[2005版] 出版后一年[2007版]

第一作者:
第一作者机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
通讯作者:
通讯机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16461 今日访问量:0 总访问量:871 更新日期:2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院