1H-fMRS 中 BOLD 效应及其校正的有效性和特异性

IF 3.2 3区 医学 Q2 NEUROSCIENCES Frontiers in Neuroscience Pub Date : 2024-09-09 DOI:10.3389/fnins.2024.1433468
Nathalie Just
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引用次数: 0

摘要

方法为了更全面地了解功能磁共振波谱(fMRS)检测到的 BOLD 效应并优化校正方法,模拟了 1 Hz 线窄效应。然后,利用质子功能磁共振波谱(1H-fMRS)数据,在 9.4T 下使用刺激回波采集模式(STEAM)采集大鼠(n = 8)初级躯体感觉皮层受到光遗传刺激时的数据。数据使用 MATLAB 例程和 LCModel 进行分析。对模拟数据和体内数据的未校正和校正 1H-MR 光谱进行了量化和比较。还计算和分析了 BOLD 校正差异光谱。结果发现在光遗传刺激下,水和 N-乙酰天冬氨酸(NAA)峰高的平均值显著增加(分别为 +1.1%和 +4.5%),同时线宽下降(-0.5 Hz 和 -2.8%)。这些估计值用于进一步确定精确的线宽(lb)因子。使用非数据驱动的 lb 会给代谢物浓度变化估计带来假阳性误差,从而改变研究结果的特异性。结论在 1H-fMRS 研究中,使用精确 lb 因子的线宽匹配程序仍然是准确量化微小(±0.3 μmol/g)代谢变化的最有效方法。我们提出了一个简单而初步的 BOLD 效应分区,但还需要验证。
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Validity and specificity of BOLD effects and their correction in 1H-fMRS
PurposeThis study aimed to characterize blood oxygen level-dependent (BOLD) effects in proton magnetic resonance (1H-MR) spectra obtained during optogenetic activation of the rat forelimb cortex to correct and estimate the accurate changes in metabolite concentration.MethodsFor a more comprehensive understanding of BOLD effects detected with functional magnetic resonance spectroscopy (fMRS) and to optimize the correction method, a 1 Hz line-narrowing effect was simulated. Then, proton functional magnetic resonance spectroscopy (1H-fMRS) data acquired using stimulated echo acquisition mode (STEAM) at 9.4T in rats (n = 8) upon optogenetic stimulation of the primary somatosensory cortex were utilized. The data were analyzed using MATLAB routines and LCModel. Uncorrected and corrected 1H-MR spectra from the simulated and in vivo data were quantified and compared. BOLD-corrected difference spectra were also calculated and analyzed. Additionally, the effects of stimulated and non-stimulated water on the quantification of metabolite concentration swere investigated.ResultsSignificant mean increases in water and N-acetylaspartate (NAA) peak heights (+1.1% and +4.5%, respectively) were found to be accompanied by decreased linewidths (−0.5 Hz and −2.8%) upon optogenetic stimulation. These estimates were used for further defining an accurate line-broadening (lb) factor. The usage of a non-data-driven lb introduced false-positive errors in the metabolite concentration change estimates, thereby altering the specificity of the findings. The water and metabolite BOLD contributions were separated using different water scalings within LCModel.ConclusionThe linewidth-matching procedure using a precise lb factor remains the most effective approach for accurately quantifying small (±0.3 μmol/g) metabolic changes in 1H-fMRS studies. A simple and preliminary compartmentation of BOLD effects was proposed, but it will require validation.
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来源期刊
Frontiers in Neuroscience
Frontiers in Neuroscience NEUROSCIENCES-
CiteScore
6.20
自引率
4.70%
发文量
2070
审稿时长
14 weeks
期刊介绍: Neural Technology is devoted to the convergence between neurobiology and quantum-, nano- and micro-sciences. In our vision, this interdisciplinary approach should go beyond the technological development of sophisticated methods and should contribute in generating a genuine change in our discipline.
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