Hong Sungtak, Shen Jun
Section on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Metabolites. 2023 Jan 31;13(2):211. doi: 10.3390/metabo13020211.
Spectral correlations between metabolites in P magnetic resonance spectroscopy (MRS) spectra of human brain were compared at 3 and 7 Tesla, the two commonly used magnetic field strengths for clinical research. It was found that at both field strengths, there are significant correlations between P-containing metabolites arising from spectral overlap, and their downfield correlations are markedly altered by the background spectral baseline. Overall, the spectral correlations between P-containing metabolites are markedly reduced at 7 Tesla with the increased chemical shift dispersion and the decreased membrane phospholipid signal. The findings provide the quantitative landscape of pre-existing correlations in P MRS spectra due to overlapping signals. Detailed procedures for quantifying the pre-existing correlations between P-containing metabolites are presented to facilitate incorporation of spectral correlations into statistical modeling in clinical correlation studies.
在3特斯拉和7特斯拉这两种临床研究常用的磁场强度下,对人脑磷磁共振波谱(MRS)谱中代谢物之间的光谱相关性进行了比较。结果发现,在这两种场强下,由于光谱重叠,含磷代谢物之间存在显著相关性,并且它们的低场相关性会因背景光谱基线而明显改变。总体而言,在7特斯拉时,随着化学位移分散度增加和膜磷脂信号降低,含磷代谢物之间的光谱相关性显著降低。这些发现提供了由于信号重叠而在磷MRS谱中预先存在的相关性的定量情况。本文还介绍了量化含磷代谢物之间预先存在的相关性的详细程序,以促进在临床相关性研究中将光谱相关性纳入统计建模。