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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 induced

Keywords： acupuncture     migraine     fMRI     metabolome     proteome    

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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: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

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

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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:

The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.

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

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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) dateflourished and was adopted worldwide with an endless array of applications and imaging approaches, making magneticresonance an indispensable pillar of biomedical diagnostic imaging.

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

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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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in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magneticresonance 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-word

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

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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: High-intensity focused ultrasound (HIFU) is a technique to destroy tissue at depth within the body, selectively and without harming overlying and adjacent structures within the path of the beam because the ultrasonic intensity at the beam focus is much higher than that outside of the focus. 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 in Chongqing, China. Over the last decade, thousands of patients with uterine fibroids, liver cancer, breast cancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided HIFU. Based on several research groups’ reports, as well as our ten-year clinical experience, we conclude that this technique is safe and effective in treating human solid tumors. HIFU is a promising technique. Most importantly, HIFU offers patients another alternative when those patients have no other treatment available.

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

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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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Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Frontiers of Structural and Civil Engineering   Pages 981-993 doi: 10.1007/s11709-023-0979-5

Abstract: of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonanceThe analysis revealed that a moving load induces high-harmonic forced resonance amplification when theTo verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-spanThe forced resonance amplification characteristics of the fundamental mode for beam response estimationThe results reveal that the high-harmonic forced resonance may be significant for the investigated beams

Keywords： forced vibration     linear Euler beam     moving load     harmonic structure     frequency modulation     end restraints    

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Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: It is necessary to study how vehicles influence the vortex-excited resonance of vehicle-bridge systems, because lock-in wind speed is low and vortex-excited resonance is sensitive to any change in the mainBased on the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectionalThe result indicates that: 1) for the bridge with vehicles, the vertical vortex-excited resonance isTherefore, the influence of vehicles on vortex-excited resonance performance of vehicle-bridge systems

Keywords： vehicle-bridge system     sectional mode     vortex-excited resonance     wind tunnel test     mode shape correction    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

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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 aspects

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

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Application and mechanism of polysaccharide extracted from Enteromorpha to remove nano-ZnO and humic acid in coagulation process

Jianzhang Sun, Baoyu Gao, Yuanxia Luo, Moxi Xue, Xing Xu, Qinyan Yue, Yan Wang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 3, doi: 10.1007/s11783-018-1029-8

Abstract: Enteromorpha polysaccharide (Ep) extracted from alga a novel green coagulant aid for nanoparticles (NPs) and heavy metal ions removal and the structure of EP was intensively studied in this study. The integration of Ep with polyaluminum chloride (PAC-Ep) coagulants exhibited higher coagulation performance than that of the polyaluminum chloride (PAC) because of the negatively charged NPs suspension and humic aid (HA) solution. Significant high removal efficiencies of dissolved organic matter (94.1%), turbidity (99.3%) and Zn ions (69.3%) were achieved by the PAC-Ep coagulants. The dual-coagulation properties of PAC-Ep for different pollutants was based on multiple mechanisms, including (i) Al charge neutralization; (ii) hydroxy aluminum hydroxyl bridging formed polynuclearhydroxy complexes bridge and sweep colloidal particles; (iii) adsorption and bridging of Ep chain for the NPs and heavy metal ions. Results indicated that the destabilization of colloid was induced by the coexisting HA and higher removal was achieved as ions adsorption was enhance in the presence of HA complexation. On the basis of that, the extraction of polysaccharide is a promising candidate for its high coagulation performance in water treatment.

Keywords： Algal Extraction     Enteromorpha polysaccharide     1H-13C nuclear magnetic resonance    

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Continuous size fractionation of magnetic nanoparticles by using simulated moving bed chromatography

Carsten-Rene Arlt, Dominik Brekel, Stefan Neumann, David Rafaja, Matthias Franzreb

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1346-1355 doi: 10.1007/s11705-021-2040-3

Abstract: The size fractionation of magnetic nanoparticles is a technical problem, which until today can only beUsing magnetic chromatography, we show a promising method for fractionation of magnetic nanoparticleswith respect to their size and/or magnetic properties.This was achieved by passing magnetic nanoparticles through a packed bed of fine steel spheres with whichThe continuous feed stream of magnetic nanoparticles could be fractionated with a space-time-yield of

Keywords： magnetic chromatography     simulated moving bed chromatography     magnetic nanoparticles     size fractionation    

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Magnetostriction varieties and stress relief caused by pulsed magnetic field

Zhipeng CAI, Xinjie DUAN, Jian LIN, Haiyan ZHAO

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 3,   Pages 354-358 doi: 10.1007/s11465-011-0123-4

Abstract:

Magnetostriction is investigated to evaluate the stress relief caused by pulsed magnetic field treatmentThe stress variations caused by pulsed magnetic treatment are also compared.find that the product of magnetostriction amplitude and stress magnitude is nearly a constant during magnetic

Keywords： magnetostriction     pulsed magnetic field treatment     stress relief    

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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

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

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

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

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

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

Journal Article

in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magneticresonance imaging study

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

Journal Article

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

Lian ZHANG, Zhi-Biao WANG

Journal Article

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Journal Article

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Journal Article

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

Application and mechanism of polysaccharide extracted from Enteromorpha to remove nano-ZnO and humic acid in coagulation process

Jianzhang Sun, Baoyu Gao, Yuanxia Luo, Moxi Xue, Xing Xu, Qinyan Yue, Yan Wang

Journal Article

Continuous size fractionation of magnetic nanoparticles by using simulated moving bed chromatography

Carsten-Rene Arlt, Dominik Brekel, Stefan Neumann, David Rafaja, Matthias Franzreb

Journal Article

Magnetostriction varieties and stress relief caused by pulsed magnetic field

Zhipeng CAI, Xinjie DUAN, Jian LIN, Haiyan ZHAO

Journal Article