Brain Institute, Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA.
J Magn Reson Imaging. 2013 Mar;37(3):642-51. doi: 10.1002/jmri.23848. Epub 2012 Oct 10.
To investigate human brain metabolite discriminability and general measurement reproducibility of two-dimensional (2D) J-resolved (1)H MRS and Prior Knowledge Fitting (ProFit).
2D J-resolved (1)H MRS spectra were acquired from the anterior cingulate cortex (ACC) and the parietal-occipital cortex (POC) of 10 healthy subjects at a magnetic field strength of 2.9 Tesla. Amplitude correlation matrices were constructed for each subject and brain region to assess metabolite discriminability. ProFit-estimated metabolite peak areas were normalized to a water reference signal, and intra- and inter-subject reproducibility was evaluated.
Favorable between-metabolite correlation coefficients (<20%) were observed for a range of metabolites. Lower correlation coefficients between a given pair of metabolite estimates were consistently observed for POC metabolites. The group mean correlation coefficient existing between glutamate and glutamine was calculated as -18% and -13% for ACC and POC, respectively. Most ACC and POC metabolites showed intra- and inter-subject CV values of <15% and <20%, respectively.
The observed Glu and Gln signal discrimination makes these techniques suitable for investigating a variety of psychiatric disorders. Intra- and inter-subject metabolite level reproducibility was comparable to the existing literature findings. These data serve as a valuable benchmark for assessing future modifications to 2D (1)H MRS data acquisition and ProFit analysis.
研究二维(2D)J 分辨(1)H MRS 和先验知识拟合(ProFit)的人脑代谢物可分辨性和一般测量再现性。
在 2.9 特斯拉磁场强度下,采集 10 名健康受试者前扣带皮层(ACC)和顶枕叶皮层(POC)的 2D J 分辨(1)H MRS 谱。为每个受试者和脑区构建幅度相关矩阵,以评估代谢物的可分辨性。ProFit 估计的代谢物峰面积与水参考信号归一化,并评估内和组间的重现性。
观察到一系列代谢物之间存在良好的代谢物相关性系数(<20%)。在 POC 代谢物中,始终观察到给定对代谢物估计之间的相关性系数较低。ACC 和 POC 中谷氨酸和谷氨酰胺之间的组平均相关系数分别计算为-18%和-13%。大多数 ACC 和 POC 代谢物的内和组间 CV 值分别<15%和<20%。
观察到的 Glu 和 Gln 信号分辨力使这些技术适合研究各种精神疾病。内和组间代谢物水平的再现性与现有文献发现相当。这些数据为评估未来对 2D(1)H MRS 数据采集和 ProFit 分析的修改提供了有价值的基准。