The macromolecular MR spectrum does not change with healthy aging.
The macromolecular MR spectrum does not change with healthy aging.
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DOI：
10.1002/mrm.29093
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发表时间：
2022-04
影响因子：
3.3
通讯作者：
Edden RAE
中科院分区：
文献类型：
--
作者：
Hui SCN;Gong T;Zöllner HJ;Song Y;Murali-Manohar S;Oeltzschner G;Mikkelsen M;Tapper S;Chen Y;Saleh MG;Porges EC;Chen W;Wang G;Edden RAE
获取健康参与者的移动大分子 (MM) 谱，并研究信号随年龄和性别的变化。招募了 102 名 20 至 69 岁的志愿者 (49M/53F)，用于半卵圆中心 (CSO) 和后扣带皮层 (PCC) 的体内数据采集。使用体素尺寸为 30 × 26 × 26 mm3 的 PRESS 定位、预反演 (TR/TI 2000/600 ms) 和 CHESS 水抑制在 3T 下获取光谱数据。对代谢物无效光谱进行建模，以消除残留的代谢物信号，然后使用 Osprey 软件将其减去以产生“干净”的 MM 光谱。计算 14 个 MM 信号的积分和年龄之间的 Pearson 相关系数。进行单向方差分析以确定年龄组之间的差异。进行独立 t 检验以确定性别之间的差异。 102 名受试者中的 99 名 (CSO) 和 96 名 (PCC) 成功获取了 MM 光谱。年龄和 MM 信号之间没有发现显着相关性。单向方差分析还表明任何 MM 峰值均不存在年龄组差异（所有 p > 0.004）。性别组之间没有观察到差异。在以 WM 为主的 CSO (R = –0.29) 和以 GM 为主的 PCC 区域 (R = –0.57) 中，WM 和 GM 体素分数分别与年龄呈显着 (p < 0.05) 负线性相关，而这两个区域的 CSF 均随着年龄的增长而显着增加。我们的研究结果表明，预定义的 MM 基函数可用于不同年龄和性别组代谢数据的线性组合建模。
To acquire the mobile macromolecule (MM) spectrum from healthy participants, and to investigate changes in the signals with age and sex. 102 volunteers (49M/53F) between 20 and 69 years were recruited for in vivo data acquisition in the centrum semiovale (CSO) and posterior cingulate cortex (PCC). Spectral data were acquired at 3T using PRESS localization with a voxel size of 30 × 26 × 26 mm3, pre-inversion (TR/TI 2000/600 ms) and CHESS water suppression. Metabolite-nulled spectra were modeled to eliminate residual metabolite signals, which were then subtracted out to yield a ‘clean’ MM spectrum using the Osprey software. Pearson’s correlation coefficient was calculated between integrals and age for the 14 MM signals. One-way ANOVA was performed to determine differences between age groups. An independent t-test was carried out to determine differences between sexes. MM spectra were successfully acquired in 99 (CSO) and 96 (PCC) of 102 subjects. No significant correlations were seen between age and MM signals. One-way ANOVA also suggested no age-group differences for any MM peak (all p > 0.004). No differences were observed between sex groups. WM and GM voxel fractions showed a significant (p < 0.05) negative linear association with age in the WM-predominant CSO (R = –0.29) and GM-predominant PCC regions (R = –0.57) respectively while CSF increased significantly with age in both regions. Our findings suggest that a pre-defined MM basis function can be used for linear combination modeling of metabolite data from different age and sex groups.
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影响因子：
4.6
作者：
Bell T;Stokoe M;Harris AD
通讯作者：
Harris AD
影响因子：
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作者：
Giorgio, Antonio;Santelli, Luca;Tomassini, Valentina;Bosnell, Rose;Smith, Steve;De Stefano, Nicola;Johansen-Berg, Heidi
通讯作者：
Johansen-Berg, Heidi
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影响因子：
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作者：
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通讯作者：
Klose, U
影响因子：
3.3
作者：
Murali-Manohar, Saipavitra;Wright, Andrew Martin;Henning, Anke
通讯作者：
Henning, Anke