大鼠尼古丁敏感性脑结构的磁共振成像

Yingshun Hu, Yuewei Cai, Xuxia Wang, Siwei Liu, Y. Kang, H. Lei, F. Lin
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Magnetic Resonance Imaging the Brain Structures Involved in Nicotine Susceptibility in Rats
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来源期刊
自引率
0.00%
发文量
2687
审稿时长
40 weeks
期刊介绍: 'BOPUXUE ZAZHI' (Chinese Journal of Magnetic Resonance, Abbreviation: Chinese J Magn Reson), is the official journal of the Committee of Magnetic Resonance of the Chinese Physics Society, and sponsored by Innovation Academy for Precision Measurement Science and Technology, CAS. It is a Chinese journal dedicated to magnetic resonance community and distributed publicly at home and abroad. The journal covers all areas of magnetic resonance, and interaction of atoms with microwave field, including high resolution liquid and solid state nuclear magnetic resonance (NMR); in vivo magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), and functional magnetic resonance imaging (fMRI); electron spin/paramagnetic resonance (ESR); nuclear quadruple resonance (NQR); laser magnetic resonance (LMR); atomic frequency standards etc. The journal seeks the papers about novel, new and significant developments in the physical principles underlying all these spectroscopies, and methodologies and applications of magnetic resonance in chemistry, biology, medicine, geochemistry, ecology, and related fields. The journal provides an international forum for mini-reviews and communications which merit urgent publication. Four high-quality and breakthrough categories of contribution are presented: Full papers, Research Notes, Rapid communications and Review articles.
期刊最新文献
A Quantitative Study of Photocatalytic Reduction of Cr(VI) by Operando Low-Field NMR Relaxometry Magnetic Resonance Imaging the Brain Structures Involved in Nicotine Susceptibility in Rats Spectroscopic Studies of Delafloxacin Meglumine Nuclear Magnetic Resonance Assignment and Crystal Structure of 3, 22-Dihydroxyhopane Automatic Segmentation of Right Ventricle in Cine Cardiac Magnetic Resonance Image Based on a Dense and Multi-Scale U-net Method
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