High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
IMPRS for Cognitive & Systems Neuroscience, Tübingen, Germany.
Magn Reson Med. 2018 Aug;80(2):462-473. doi: 10.1002/mrm.27070. Epub 2018 Jan 15.
Macromolecular resonances (MM) arise mainly from cytosolic proteins and overlap with metabolites, influencing metabolite quantification. Macromolecules can serve as valuable biomarkers for diseases and pathologies. The objectives of this study were to characterize MM at 9.4T in the human brain (occipital and left parietal lobe) and to describe the RF coil setup used for MM acquisition in the two regions.
An adiabatic inversion pulse was optimised for metabolite nulling at 9.4T using double inversion recovery and was combined for the first time with metabolite cycled (MC) semi-LASER and appropriate coil configuration. MM spectra (seven volunteers) from two brain locations were averaged and smoothed creating MM templates, which were then parametrized using simulated Voigt-shaped lines within LCModel. Quantification was performed on individual data sets, including corrections for different tissue composition and the T and T relaxation of water.
Our coil configuration method resulted in efficient B1+ (>30 T/√kW) for both brain regions. The 15 MM components were detected and quantified in MM baselines of the two brain areas. No significant differences in concentration levels of MM between different regions were found. Two new MM peaks were reported (M7 & M8).
Double inversion, which was combined with MC semi-LASER, enabled the acquisition of high spectral resolution MM spectra for both brain regions at 9.4T. The 15 MM components were detected and quantified. Two new MM peaks were reported for the first time (M7 & M8) and preliminarily assigned to β-methylene protons of aspartyl-groups. Magn Reson Med 80:462-473, 2018. © 2018 International Society for Magnetic Resonance in Medicine.
大分子共振(MM)主要来源于细胞质蛋白,并与代谢物重叠,影响代谢物定量。大分子可以作为疾病和病理的有价值的生物标志物。本研究的目的是在 9.4T 下对人脑(枕叶和左顶叶)中的 MM 进行特征描述,并描述用于两个区域 MM 采集的 RF 线圈设置。
使用双反转恢复优化了在 9.4T 下用于代谢物消光的绝热反转脉冲,并首次将其与代谢物循环(MC)半 LASER 和适当的线圈配置相结合。从两个脑区采集的 MM 谱(七名志愿者)进行平均和平滑,创建 MM 模板,然后在 LCModel 中使用模拟的 Voigt 形线对其进行参数化。对单个数据集进行定量分析,包括对不同组织成分以及水的 T 和 T 弛豫的校正。
我们的线圈配置方法使两个脑区的 B1+效率(>30T/√kW)都很高。在两个脑区的 MM 基线中检测到并定量了 15 个 MM 成分。不同脑区 MM 浓度水平无显著差异。报告了两个新的 MM 峰(M7 和 M8)。
双反转与 MC 半 LASER 相结合,能够在 9.4T 下对两个脑区进行高光谱分辨率 MM 谱的采集。检测到并定量了 15 个 MM 成分。首次报告了两个新的 MM 峰(M7 和 M8),并初步分配给天冬氨酰基的亚甲基质子。磁共振医学 80:462-473,2018。©2018 国际磁共振学会。