The association between language-based task-functional magnetic resonance imaging hemodynamics and baseline GABA+ and glutamate-glutamine measured in pre-supplementary motor area: A pilot study in an aging model.

The association between language-based task-functional magnetic resonance imaging hemodynamics and baseline GABA+ and glutamate-glutamine measured in pre-supplementary motor area: A pilot study in an aging model.
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DOI:
10.3389/fpsyt.2022.904845
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发表时间:
2022
影响因子:
4.7
通讯作者:
Krishnamurthy, Venkatagiri
Krishnamurthy, Venkatagiri
中科院分区:
医学3区
文献类型:
--
作者:
Krishnamurthy, Lisa C.;Paredes Spir, Isabella;Rocha, Natalie O.;Soher, Brian J.;Auerbach, Edward J.;Crosson, Bruce A.;Krishnamurthy, Venkatagiri

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衰老是一种自然现象,它会引起缓慢和渐进的脑血管和神经生理变化,最终导致认知能力下降。本初步研究的目的是检查GABA+和谷氨酸-谷氨酰胺(Glx)复合物与语言为基础的血氧水平依赖(BOLD)血流动力学在衰老模型中的关联。更具体地说,使用标准的BOLD,我们将首先尝试验证是否以前报道的结果BOLD振幅和休息神经化学关系持有老化模型。其次,我们将研究我们最近建立的神经致敏任务BOLD能量学如何与静息GABA+和Glx相关,特别是考虑任务难度的滴定。为了支持上述努力,我们优化了编辑的磁共振波谱(MRS)差谱的基线拟合,以使GABA+和Glx浓度对衰老相关差异敏感。我们确定了0.6ppm的样条结间距,以产生GABA+和Glx的最佳老化相关差异。然后将优化的MRS值分级为与task-BOLD血流动力学相关。我们的研究结果并没有重复以前的研究结果,涉及任务BOLD振幅和休息GABA+和Glx。然而,我们确实确定了神经化学与血流动力学反应功能的血管驱动分散成分的关系,特别是在老年参与者中。在神经致敏的BOLD能量学和GABA+和Glx的潜在作用方面,我们的数据表明,任务需求取决于任务刺激的难度,由两种神经代谢物支持。另一个新奇是,我们开发了基于任务的功能parcellation前SMA使用这两个群体。总之,我们是第一个证明多模式任务功能磁共振成像和MRS研究有利于提高我们对衰老大脑生理学的理解,并为更好地为衰老相关神经血管疾病的临床护理提供信息提供平台。我们还敦促未来的研究在纳入寿命框架的更大人群中复制我们的发现。
Aging is a natural phenomenon that elicits slow and progressive cerebrovascular and neurophysiological changes that eventually lead to cognitive decline. The objective of this pilot study is to examine the association of GABA+ and glutamate–glutamine (Glx) complex with language-based blood oxygen level dependent (BOLD) hemodynamics in an aging model. More specifically, using standard BOLD we will first attempt to validate whether previously reported findings for BOLD amplitude and resting neurochemical relationships hold in an aging model. Secondly, we will investigate how our recently established neurosensitized task-BOLD energetics relate to resting GABA+ and Glx, especially accounting for titration of task difficulty. To support the above endeavors, we optimize the baseline fitting for edited magnetic resonance spectroscopy (MRS) difference spectra to sensitize GABA+ and Glx concentrations to aging-related differences. We identify a spline-knot spacing of 0.6ppm to yield the optimal aging-related differences in GABA+ and Glx. The optimized MRS values were then graduated to relate to task-BOLD hemodynamics. Our results did not replicate previous findings that relate task-BOLD amplitude and resting GABA+ and Glx. However, we did identify neurochemistry relationships with the vascularly-driven dispersion component of the hemodynamic response function, specifically in older participants. In terms of neuro-sensitized BOLD energetics and the underlying role of GABA+ and Glx, our data suggests that the task demands are supported by both neurometabolites depending on the difficulty of the task stimuli. Another novelty is that we developed task-based functional parcellation of pre-SMA using both groups. In sum, we are the first to demonstrate that multimodal task-fMRI and MRS studies are beneficial to improve our understanding of the aging brain physiology, and to set the platform to better inform approaches for clinical care in aging-related neurovascular diseases. We also urge future studies to replicate our findings in a larger population incorporating a lifespan framework.
DOI: 10.3389/fneur.2021.678518
发表时间: 2021
影响因子: 3.4
作者:
Chiang HS;Shakal S;Vanneste S;Kraut M;Hart J Jr
通讯作者: Hart J Jr
DOI: 10.1016/j.neurobiolaging.2018.01.023
发表时间: 2018-05-01
影响因子: 4.2
作者:
Hermans, Lize;Levin, Oron;Cuypers, Koen
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DOI: 10.1093/cercor/bhp023
发表时间: 2009-11
期刊: Cerebral cortex (New York, N.Y. : 1991)
影响因子: --
作者:
Grogan A;Green DW;Ali N;Crinion JT;Price CJ
通讯作者: Price CJ
DOI: 10.1002/mrm.1910290613
发表时间: 1993-06-01
影响因子: 3.3
作者:
GRUETTER, R
通讯作者: GRUETTER, R
DOI: 10.1523/jneurosci.0760-18.2018
发表时间: 2018-09-05
影响因子: 5.3
作者:
Hermans, Lize;Leunissen, Inge;Swinnen, Stephan P.
通讯作者: Swinnen, Stephan P.