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

Frontiers of Medicine   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes inducedCorrelation and mediation analyses were performed to investigate the interaction between clinical, fMRIinvolves a complex network related to the regulation of the response to hypoxic stress, reversal of brainThe brain regions of migraineurs affected by acupuncture include the lingual gyrus, default mode networkThe effect of acupuncture on patients’ metabolites/proteins may precede that of the brain.

Keywords： acupuncture     migraine     fMRI     metabolome     proteome    

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The brain areas and the neural mechanism involved in the Chinese paired-word associated learning andmemory in healthy volunteers——a brain functional magnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 38-45

Abstract: mechanism of Chinese paired-word associated learning and memory in healthy volunteers by functional magneticresonance imaging (fMRI) technique. 16 right-handed normal volunteers participated in a test of paired-wordassociated learning and memory, while the fMRI data were recorded.the striatum as well as the cortex were involved in the associated learning and memory of language in humanbrain.

Keywords： functional magnetic resonance imaging (fMRI) of human brain     paired-word     language     associated learning    

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Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Engineering 2019, Volume 5, Issue 5,   Pages 948-953 doi: 10.1016/j.eng.2019.03.010

Abstract:

Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspectsAlthough previous researchers have made significant advances in brain encoding and decoding models, existingNext, we show that there are correspondences between deep neural networks and human visual streams inautoencoders (VAEs) and generative adversarial networks (GANs)) have produced promising results in studies on brain

Keywords： Brain encoding and decoding     Functional magnetic resonance imaging     Deep neural networks     Deep generative    

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Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 4-13 doi: 10.1007/s11684-013-0248-4

Abstract: This review summarizes the current findings of metabolomic studies in human investigations with the most

Keywords： metabolomics     type 2 diabetes     metabolic pathway     mass spectrometry     nuclear magnetic resonance (NMR)    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain

Keywords： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging    

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Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions Review

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Engineering 2015, Volume 1, Issue 4,   Pages 475-489 doi: 10.15302/J-ENG-2015103

Abstract:

The research roots of 19fluorine (19F) magnetic resonance imaging (MRI) dateOver that time span, 1H imaging flourished and was adopted worldwide with an endless arrayof applications and imaging approaches, making magnetic resonance an indispensable pillar of biomedicaldiagnostic imaging.For many years during this timeframe, 19F imaging research continued at a slow pace as the

Keywords： fluorine     magnetic resonance imaging (MRI)     dual-tuned coil     perfluorocarbon     angiogenesis     cell labeling    

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: Diagnostic ultrasound is the first imaging modality used for guiding HIFU ablation.In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFU, breast cancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guidedour ten-year clinical experience, we conclude that this technique is safe and effective in treating human

Keywords： high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonanceimaging-guided HIFU (MRgHIFU)    

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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

Frontiers of Medicine 2020, Volume 14, Issue 6,   Pages 792-801 doi: 10.1007/s11684-020-0745-1

Abstract: By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40matched health controls, brain functional measures including regional activity (amplitude of low-frequencypatterns of regional and network changes, thereby suggesting that the two parameters reflect different brain

Keywords： asthma     brain     regional activation     functional connectivity     resting-state fMRI    

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Repetitive transcranial magnetic stimulation causes significant changes of chemical substances in thebrain of rabbits with experimental intracerebral hemorrhage

GUO Tiecheng, CAO Xuebing, XIA Limin

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 406-409 doi: 10.1007/s11684-008-0078-y

Abstract: More and more studies have reported the usefulness of repetitive transcranial magnetic stimulation (rTMSThe contents of chemical substances including NAA, Cho and Cr in the perihematomal brain tissues weremeasured by using H-magnetic resonance spectroscopy (H-MRS) 12 hours, 72 hours, 1 week and 2 weeks afteris concluded that rTMS could result in changes of the chemical substance contents in perihematomal braintissues, which leads to neuroprotective effects in the brain.
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Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of Artificial

Jiang Changjun, Wang Junli

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 93-100 doi: 10.15302/J-SSCAE-2018.06.015

Abstract: aims to simulate information storage and processing mechanisms and other intelligent behaviors of a humanbrain, so that the machine has a certain level of intelligence.In this paper, the historical integration and evolution of computer science, control science, brain-inspiredintelligence, human brain intelligence, and other disciplines or fields closely related to AI are analyzeddepth; then it is pointed out that the research results on the structure and functional mechanism of brain

Keywords： artificial intelligence     human brain intelligence     brain-inspired intelligence     intelligence development    

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Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 304-309 doi: 10.1007/s11705-007-0056-y

Abstract: The copolymer was analyzed with Fourier transform-infrared (FTIR) and nuclear magnetic resonance (H-NMR

Keywords： reaction     conversion     temperature     polymerization temperature     magnetic resonance    

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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magneticresonance imaging (CS-MRI), which outperforms pre-defined analytic sparse priors.framework to allow sparser representation and prominent hierarchical essential features capture for magneticresonance (MR) images.

Keywords： Compressed sensing (CS)     Magnetic resonance imaging (MRI)     Uniform discrete curvelet transform (UDCT)    

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Outcomes of patients awaiting lung transplantation after the implementation of donation after brain death

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 760-765 doi: 10.1007/s11684-021-0899-5

Abstract: outcomes of patients awaiting lung transplantation (LTx) after the implementation of donation after brain

Keywords： lung transplantation     donation after brain death     waitlist    

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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 222-225 doi: 10.1007/s11465-008-0028-z

Abstract: The magnetic leakage field distribution resulting from linear defects of a tube sample in the geomagneticfield is modeled according to the magnetic dipole theory.The formula to compute the normal component of the weak magnetic field is deduced based on the spatialdistribution of the magnetic dipole.The shape and characteristics of the zero line (an important criterion for magnetic memory testing) of

Keywords： geomagnetic     theory     important criterion     magnetic leakage     normal component    

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Cooling strategies and transport theories for brain hypothermia resuscitation

LIU Jing

Frontiers in Energy 2007, Volume 1, Issue 1,   Pages 32-57 doi: 10.1007/s11708-007-0004-z

Abstract: The brain is one of the most important organs in a biological body whose normal function depends heavilyUnlike skeletal muscles that can survive for hours without oxygen, neuron cells in the brain are easilyThe reason can be attributed to the decreased metabolic requirements of the cold brain tissues, whichallows a longer duration for the brain to endure reduced oxygen delivery.Meanwhile, some future efforts worth pursuing within the area of brain cooling are suggested.

Keywords： mathematical     interruption     hypothermia     metabolic     generation    

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Title Author Date Type Operation

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

Journal Article

The brain areas and the neural mechanism involved in the Chinese paired-word associated learning andmemory in healthy volunteers——a brain functional magnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Journal Article

Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Journal Article

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

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

Journal Article

Repetitive transcranial magnetic stimulation causes significant changes of chemical substances in thebrain of rabbits with experimental intracerebral hemorrhage

GUO Tiecheng, CAO Xuebing, XIA Limin

Journal Article

Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of Artificial

Jiang Changjun, Wang Junli

Journal Article

Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Journal Article

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Journal Article

Outcomes of patients awaiting lung transplantation after the implementation of donation after brain death

Journal Article

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Journal Article

Cooling strategies and transport theories for brain hypothermia resuscitation

LIU Jing

Journal Article