α-氨基-3-羟基-5-甲基-4-异恶唑丙酸(AMPA)受体密度是区域内和区域间功能中心性的基础。

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neural Circuits Pub Date : 2024-11-06 eCollection Date: 2024-01-01 DOI:10.3389/fncir.2024.1497897
Taisuke Yatomi, Dardo Tomasi, Hideaki Tani, Shinichiro Nakajima, Sakiko Tsugawa, Nobuhiro Nagai, Teruki Koizumi, Waki Nakajima, Mai Hatano, Hiroyuki Uchida, Takuya Takahashi
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引用次数: 0

摘要

根据功能磁共振成像(fMRI)数据得出的局部和全局功能连通性密度(lFCD 和 gFCD)代表了局部和全局大脑网络中的功能中心程度。虽然这些方法在绘制大脑连接图方面已得到广泛认可,但这些连接模式的分子和突触基础仍不清楚。谷氨酸是大脑中主要的兴奋性神经递质,在这些过程中起着关键作用。在其受体中,α-氨基-3-羟基-5-甲基-4-异恶唑丙酸受体(AMPAR)对神经传递,尤其是学习和记忆等认知功能至关重要。本研究旨在考察 AMPAR 密度与 FCD 区域内和区域间功能中心性指标之间的关联。我们使用针对 AMPAR 的正电子发射断层扫描(PET)示踪剂 [11C]K-2 测量了 35 名健康参与者大脑中的 AMPAR 密度。我们的研究结果表明,在整个大脑中,AMPAR 密度与 lFCD 和 gFCD-lFCD 之间存在很强的正相关性。这种相关性在前扣带回皮层、后扣带回皮层、前下额叶皮层、默认模式网络和视觉网络等关键区域尤为明显。这些结果突显了突触后 AMPARs 对大脑局部和全局功能连接的重要贡献,尤其是在网络枢纽区域。这项研究为了解大脑功能连接组的分子和突触基础提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor density underlies intraregional and interregional functional centrality.

Local and global functional connectivity densities (lFCD and gFCD, respectively), derived from functional magnetic resonance imaging (fMRI) data, represent the degree of functional centrality within local and global brain networks. While these methods are well-established for mapping brain connectivity, the molecular and synaptic foundations of these connectivity patterns remain unclear. Glutamate, the principal excitatory neurotransmitter in the brain, plays a key role in these processes. Among its receptors, the α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor (AMPAR) is crucial for neurotransmission, particularly in cognitive functions such as learning and memory. This study aimed to examine the association of the AMPAR density and FCD metrics of intraregional and interregional functional centrality. Using [11C]K-2, a positron emission tomography (PET) tracer specific for AMPARs, we measured AMPAR density in the brains of 35 healthy participants. Our findings revealed a strong positive correlation between AMPAR density and both lFCD and gFCD-lFCD across the entire brain. This correlation was especially notable in key regions such as the anterior cingulate cortex, posterior cingulate cortex, pre-subgenual frontal cortex, Default Mode Network, and Visual Network. These results highlight that postsynaptic AMPARs significantly contribute to both local and global functional connectivity in the brain, particularly in network hub regions. This study provides valuable insights into the molecular and synaptic underpinnings of brain functional connectomes.

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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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