Quantification of metabolic differences in the frontal brain of depressive patients and controls obtained by 1H-MRS at 3 Tesla
Quantification of metabolic differences in the frontal brain of depressive patients and controls obtained by 1H-MRS at 3 Tesla
复制标题
DOI：
10.1097/01.rli.0000073446.43445.20
复制
发表时间：
2003-07-01
影响因子：
6.7
通讯作者：
Moser, E
中科院分区：
文献类型：
--
作者：
Gruber, S;Frey, R;Moser, E
基本原理和目的：本研究使用质子磁共振波谱和绝对定量代谢物（NAA, Cr, Cho, mI）在3特斯拉下比较抑郁症患者与年龄和性别匹配的对照组额叶脑代谢差异。方法：在17例抑郁症患者和17例年龄、性别匹配的对照组前额叶区采用短回声时间刺激的回声获取模式（TE/TM/TR = 20/30/6000毫秒）。计算代谢比率，即n -乙酰-天冬氨酸/肌酸（Cr）、胆碱/Cr和肌醇/Cr，以及绝对浓度（使用内部水作为参考并基于lcmodel的光谱拟合），并比较各组之间和已发表的参考数据。结果：代谢率显示，与对照组相比，抑郁症患者n -乙酰-天冬氨酸/Cr （P = 0.016/0.006，左/右）、胆碱/Cr （P = n.s./0.016）和肌醇/Cr （P = 0.022/0.026）显著降低。然而，与对照组相比，抑郁症患者的Cr绝对浓度显著升高（P = 0.017/0.0004），而其他所有代谢物均无差异。结论：作者证明了代谢物浓度的绝对定量对于正确识别抑郁症脑代谢物的病理差异至关重要。
Rationale and Objectives: This study compared metabolic differences in the frontal brain of depressed patients versus age- and sex-matched controls using proton magnetic resonance spectroscopy and absolute quantification of metabolites (NAA, Cr, Cho, mI) at 3 Tesla.Methods: Short-echo-time stimulated echo acquisition mode (TE/TM/TR = 20/30/6000 milliseconds) was applied in the prefrontal region of 17 depressed patients and 17 age- and sex-matched controls. Metabolic ratios, ie, N-acetyl-aspartate/creatine (Cr), choline/Cr, and myo-inositol/Cr, and absolute concentrations (using internal water as a reference together with LCModel-based spectra fitting) were calculated and compared between groups and published reference data.Results: Metabolic ratios showed significantly lower N-acetyl-aspartate/Cr (P = 0.016/0.006, left/right), choline/Cr (P = n.s./0.016), and myo-inositol/Cr (P = 0.022/0.026) for depressive patients versus controls. However, depressive patients showed significantly higher absolute concentrations of Cr (P = 0.017/0.0004) compared with controls with no differences in all other metabolites estimated.Conclusions: The authors demonstrate that absolute quantification of metabolite concentration is essential in properly identifying pathologic differences of brain metabolites in depression.