特斯拉磁共振波谱估计的GABA浓度与人体运动皮层强直抑制的生理测量有关。

IF 4.7 2区 医学 Q1 NEUROSCIENCES
Ilenia Paparella, Paolo Cardone, Benedetta Zanichelli, Laurent Lamalle, Fabienne Collette, Siya Sherif, Mikhail Zubkov, William T. Clarke, Charlotte J. Stagg, Pierre Maquet, Gilles Vandewalle
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引用次数: 0

摘要

大脑皮层内gaba能神经传递在学习中起着关键作用,并在几种脑部疾病中发生改变。人脑中大量GABA的定量通常是通过磁共振波谱(MRS)获得的。然而,对MRS-GABA的解释仍存在争议。最近的一项数学模拟认为,MRS检测突触外GABA,介导张力抑制。然而,尚无经验数据证实这一假设。本研究采集了20名健康受试者(23.95±6.4岁)静息时运动皮层的超高场7特斯拉MRS和经颅磁刺激联合高密度脑电图(TMS-hdEEG)。我们首先应用神经质量模型(NMM)对tms诱发电位进行分析,以理清不同gaba能池的贡献。然后,我们通过参数经验贝叶斯(PEB)分析评估了MRS-GABA与这些不同池中的哪一个相关。我们发现MRS-GABA主要与nmm衍生的张力抑制和gaba能突触的整体功能呈正相关。这种关系足够可靠,可以通过NMM-GABA预测MRS-GABA。这些发现阐明了mrs测量GABA水平的介观基础。我们的工作将有助于实现MRS-GABA的承诺,增强我们对人类行为、脑生理学和病理生理学的理解。重点:GABA神经传递对突触可塑性和学习(尤其是运动学习)至关重要,在癫痫和中风等几种脑部疾病中发生改变。人脑中GABA的定量通常是通过磁共振波谱(MRS)获得的。然而,对MRS-GABA的解释仍存在争议。通过生物物理神经团模型,我们发现MRS-GABA与人类皮层强直抑制的生理测量有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

7 Tesla magnetic resonance spectroscopy estimates of GABA concentration relate to physiological measures of tonic inhibition in the human motor cortex

7 Tesla magnetic resonance spectroscopy estimates of GABA concentration relate to physiological measures of tonic inhibition in the human motor cortex
GABAergic neurotransmission within the cortex plays a key role in learning and is altered in several brain diseases. Quantification of bulk GABA in the human brain is typically obtained by magnetic resonance spectroscopy (MRS). However, the interpretation of MRS-GABA is still debated. A recent mathematical simulation contends that MRS detects extrasynaptic GABA, mediating tonic inhibition. Nevertheless, no empirical data have yet confirmed this hypothesis. Here we collected ultra-high-field 7 Tesla MRS and transcranial magnetic stimulation coupled with high-density electroencephalography (TMS-hdEEG) from the motor cortex of 20 healthy participants (age 23.95 ± 6.4 years), while they were at rest. We first applied a neural mass model (NMM) to TMS-evoked potentials to disentangle the contribution of different GABAergic pools. We then assessed to which of these different pools MRS-GABA was related to by means of parametric empirical Bayesian (PEB) analysis. We found that MRS-GABA was mostly positively related to the NMM-derived measures of tonic inhibition and overall functionality of the GABAergic synapse. This relationship was reliable enough to predict MRS-GABA from NMM-GABA. These findings clarify the mesoscopic underpinnings of GABA levels measured by MRS. Our work will help fulfil the promises of MRS-GABA, enhancing our understanding of human behaviour, brain physiology and pathophysiology.

Key points

  • GABA neurotransmission is essential for synaptic plasticity and learning (especially motor learning) and is altered in several brain disorders, such as epilepsy and stroke.
  • Quantification of GABA in the human brain is typically obtained by magnetic resonance spectroscopy (MRS). However, the interpretation of MRS-GABA is still debated.
  • By using a biophysical neural mass model, here we show that MRS-GABA relates to physiological measures of tonic inhibition in the human cortex.
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来源期刊
Journal of Physiology-London
Journal of Physiology-London 医学-神经科学
CiteScore
9.70
自引率
7.30%
发文量
817
审稿时长
2 months
期刊介绍: The Journal of Physiology publishes full-length original Research Papers and Techniques for Physiology, which are short papers aimed at disseminating new techniques for physiological research. Articles solicited by the Editorial Board include Perspectives, Symposium Reports and Topical Reviews, which highlight areas of special physiological interest. CrossTalk articles are short editorial-style invited articles framing a debate between experts in the field on controversial topics. Letters to the Editor and Journal Club articles are also published. All categories of papers are subjected to peer reivew. The Journal of Physiology welcomes submitted research papers in all areas of physiology. Authors should present original work that illustrates new physiological principles or mechanisms. Papers on work at the molecular level, at the level of the cell membrane, single cells, tissues or organs and on systems physiology are all acceptable. Theoretical papers and papers that use computational models to further our understanding of physiological processes will be considered if based on experimentally derived data and if the hypothesis advanced is directly amenable to experimental testing. While emphasis is on human and mammalian physiology, work on lower vertebrate or invertebrate preparations may be suitable if it furthers the understanding of the functioning of other organisms including mammals.
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