资源类型

期刊论文 4

年份

2020 1

2019 1

2008 1

关键词

人脑功能磁共振 1

功能磁共振成像 1

双重学习 1

大脑编码和解码 1

深度生成模型 1

深度神经网络 1

皮层和皮层下结构 1

联想学习记忆 1

语言 1

配对词语 1

展开 ︾

检索范围:

排序: 展示方式:

Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study

Siyi Li, Peilin Lv, Min He, Wenjing Zhang, Jieke Liu, Yao Gong, Ting Wang, Qiyong Gong, Yulin Ji, Su Lui

《医学前沿(英文)》 2020年 第14卷 第6期   页码 792-801 doi: 10.1007/s11684-020-0745-1

摘要: Asthma is a serious health problem that involves not only the respiratory system but also the central nervous system. Previous studies identified either regional or network alterations in patients with asthma, but inconsistent results were obtained. A key question remains unclear: are the regional and neural network deficits related or are they two independent characteristics in asthma? Answering this question is the aim of this study. By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40 matched health controls, brain functional measures including regional activity (amplitude of low-frequency fluctuations) and neural network function (degree centrality (DC) and functional connectivity) were calculated to systematically characterize the functional alterations. Patients exhibited regional abnormities in the left angular gyrus, right precuneus, and inferior temporal gyrus within the default mode network. Network abnormalities involved both the sensorimotor network and visual network with key regions including the superior frontal gyrus and occipital lobes. Altered DC in the lingual gyrus was correlated with the degree of airway obstruction. This study elucidated different patterns of regional and network changes, thereby suggesting that the two parameters reflect different brain characteristics of asthma. These findings provide evidence for further understanding the potential cerebral alterations in the pathophysiology of asthma.

关键词: asthma     brain     regional activation     functional connectivity     resting-state fMRI    

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance imaging and omics

《医学前沿(英文)》   页码 993-1005 doi: 10.1007/s11684-023-0989-7

摘要: Migraine is one of the most prevalent and disabling neurological disease, but the current pharmacotherapies show limited efficacy and often accompanied by adverse effects. Acupuncture is a promising complementary therapy, but further clinical evidence is needed. The influence of acupuncture on migraine is not an immediate effect, and its mechanism remains unclear. This study aims to provide further clinical evidence for the anti-migraine effects of acupuncture and explore the mechanism involved. A randomized controlled trial was performed among 10 normal controls and 38 migraineurs. The migraineurs were divided into blank control, sham acupuncture, and acupuncture groups. Patients were subjected to two courses of treatment, and each treatment lasted for 5 days, with an interval of 1 day between the two courses. The effectiveness of treatment was evaluated using pain questionnaire. The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced by treatments. Blood plasma was collected for metabolomics and proteomics studies. Correlation and mediation analyses were performed to investigate the interaction between clinical, fMRI and omics changes. Results showed that acupuncture effectively relieved migraine symptoms in a way different from sham acupuncture in terms of curative effect, affected brain regions, and signaling pathways. The anti-migraine mechanism involves a complex network related to the regulation of the response to hypoxic stress, reversal of brain energy imbalance, and regulation of inflammation. The brain regions of migraineurs affected by acupuncture include the lingual gyrus, default mode network, and cerebellum. The effect of acupuncture on patients’ metabolites/proteins may precede that of the brain.

关键词: acupuncture     migraine     fMRI     metabolome     proteome    

基于双向深度生成模型和功能磁共振成像数据的大脑编码和解码 Review

杜长德, 李劲鹏, 黄利皆, 何晖光

《工程(英文)》 2019年 第5卷 第5期   页码 948-953 doi: 10.1016/j.eng.2019.03.010

摘要:

通过功能磁共振成像(fMRI)进行大脑编码和解码是视觉神经科学的两个重要方面。尽管以前的研究人员在大脑编码和解码模型方面取得了显著进步,但是现有方法仍需要使用先进的机器学习技术进行改进。

关键词: 大脑编码和解码     功能磁共振成像     深度神经网络     深度生成模型     双重学习    

参与中文配对词语联想学习记忆的脑区和神经机制——脑功能磁共振的研究

郑金龙,舒斯云,刘颂豪,郭周义,吴永明,包新民, 张增强,金梅,马翰章

《中国工程科学》 2008年 第10卷 第5期   页码 38-45

摘要:

通过脑功能磁共振技术,研究健康人参与语言的词语配对联想学习记忆任务的脑区和神经机制。对16名右利手健康志愿者进行一项词语配对联想学习记忆任务作业的同时,进行脑功能磁共振扫描。实验采用组块设计,实验任务(包括记忆编码相和记忆提取相)与对照任务(共两个相)交替进行;数据采用SPM99软件进行数据分析和脑功能区定位。结果表明:左侧额叶,特别是左侧额叶的额中下回和枕叶的18,19区在词语联想学习记忆的编码阶段中起重要作用;而左侧顶上小叶、缘上回和角回则在进行记忆提取阶段起重要作用;左侧纹状体边缘区参与了人脑词语联想学习记忆作业的编码阶段。揭示了人大脑完成语言联想学习记忆任务时,除额、顶、枕和颞叶的皮层结构参与外,还新发现有皮层下结构如纹状体参与了词语联想学习记忆。在配对词语的编码和提取阶段,激活的脑区有所变化,显示了这两个语言阶段的神经活动变化机制。

关键词: 人脑功能磁共振     配对词语     语言     联想学习记忆     皮层和皮层下结构    

标题 作者 时间 类型 操作

Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study

Siyi Li, Peilin Lv, Min He, Wenjing Zhang, Jieke Liu, Yao Gong, Ting Wang, Qiyong Gong, Yulin Ji, Su Lui

期刊论文

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance imaging and omics

期刊论文

基于双向深度生成模型和功能磁共振成像数据的大脑编码和解码

杜长德, 李劲鹏, 黄利皆, 何晖光

期刊论文

参与中文配对词语联想学习记忆的脑区和神经机制——脑功能磁共振的研究

郑金龙,舒斯云,刘颂豪,郭周义,吴永明,包新民, 张增强,金梅,马翰章

期刊论文