Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study
文献类型:期刊论文
作者 | Liu, Peng1; Qin, Wei1; Wang, Jingjing1![]() ![]() |
刊名 | PLOS ONE
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出版日期 | 2013-07-12 |
卷号 | 8期号:7页码:- |
英文摘要 | Background: Previous imaging studies on functional dyspepsia (FD) have focused on abnormal brain functions during special tasks, while few studies concentrated on the resting-state abnormalities of FD patients, which might be potentially valuable to provide us with direct information about the neural basis of FD. The main purpose of the current study was thereby to characterize the distinct patterns of resting-state function between FD patients and healthy controls (HCs). |
WOS标题词 | Science & Technology |
类目[WOS] | Multidisciplinary Sciences |
研究领域[WOS] | Science & Technology - Other Topics |
关键词[WOS] | IRRITABLE-BOWEL-SYNDROME ; ANTERIOR CINGULATE CORTEX ; GASTRIC DISTENSION ; BRAIN RESPONSES ; PAIN ; ACTIVATION ; CONNECTIVITY ; DEPRESSION ; DISORDERS ; ANXIETY |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000321718700013 |
源URL | [http://ir.ia.ac.cn/handle/173211/4001] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
作者单位 | 1.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian, Peoples R China 2.Chengdu Univ Tradit Chinese Med, Acupuncture & Tuina Sch, Chengdu, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.Sichuan Univ, West China Hosp, Ctr Med Imaging, Huaxi MR Res Ctr,Dept Radiol, Chengdu, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Peng,Qin, Wei,Wang, Jingjing,et al. Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study[J]. PLOS ONE,2013,8(7):-. |
APA | Liu, Peng.,Qin, Wei.,Wang, Jingjing.,Zeng, Fang.,Zhou, Guangyu.,...&Tian, Jie.(2013).Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study.PLOS ONE,8(7),-. |
MLA | Liu, Peng,et al."Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study".PLOS ONE 8.7(2013):-. |
入库方式: OAI收割
来源:自动化研究所
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