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首页> 外文期刊>Biochemical and Biophysical Research Communications >A new experimental approach and signal processing scheme for the detection and quantitation of (3)(1)P brain neurochemicals from in vivo MRS studies using dual tuned ((1)H/(3)(1)P) head coil.
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A new experimental approach and signal processing scheme for the detection and quantitation of (3)(1)P brain neurochemicals from in vivo MRS studies using dual tuned ((1)H/(3)(1)P) head coil.

机译:一种新的实验方法和信号处理方案,用于通过双调谐((1)H /(3)(1)P)头线圈从体内MRS研究中检测和定量(3)(1)P脑神经化学物质。

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摘要

Brain (31)P-neurometabolites play an important role in energy and membrane metabolism. Unambiguous identification and quantification of these neurochemicals in different brain regions would be a great aid in advancing the understanding of metabolic processes in the nervous system. Phosphomonoester (PME), consisting of phosphoethanolamine (PE) and phosphocholine (PC), is the "building block" for membranes, while phosphodiesters (PDE), consisting of glycerophosphocholine (GPC) and glycerophosphoethanolamine (GPE) metabolites are involved in the membrane breakdown process. In the clinical setting, generating well-resolved spectra for PC, PE, GPC, and GPE could be crucial phospholipids in providing information regarding membrane metabolism. We present here a new experimental approach for generating well-resolved (31)P spectra for PC and PE as well as for GPC, GPE, and other (31)P metabolites. Our results (based on uni-dimensional (1D) and multi-voxel (31)P studies) indicate that an intermediate excitation pulse angle (35 degrees ) is best suited to obtain well-resolved PC/PE and GPC/GPE resonance peaks. Our novel signal processing scheme allows generating metabolite maps of different phospholipids include PC/PE and GPC/GPE using the 'time-domain-frequency-domain' method as referred to in the MATLAB programming language.
机译:脑(31)P-神经代谢物在能量和膜代谢中起重要作用。在不同大脑区域对这些神经化学物质的明确鉴定和定量分析将有助于增进对神经系统代谢过程的理解。由磷酸乙醇胺(PE)和磷酸胆碱(PC)组成的磷酸单酯(PME)是膜的“构建块”,而由甘油磷酸胆碱(GPC)和甘油磷酸乙醇胺(GPE)代谢物组成的磷酸二酯(PDE)参与膜分解。处理。在临床环境中,为PC,PE,GPC和GPE生成良好分辨的光谱可能是提供有关膜代谢信息的重要磷脂。我们在这里提出了一种新的实验方法,用于为PC和PE以及GPC,GPE和其他(31)P代谢物生成良好分辨的(31)P光谱。我们的结果(基于一维(1D)和多体素(31)P研究)表明,中间激发脉冲角(35度)最适合获得良好分辨的PC / PE和GPC / GPE共振峰。我们新颖的信号处理方案允许使用MATLAB编程语言中提到的“时域-频域”方法生成包括PC / PE和GPC / GPE在内的不同磷脂的代谢产物图。

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