海马CA1区的局部和长程GABA能回路及其与阿尔茨海默病的关系。

IF 3.4 3区 医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-09-29 eCollection Date: 2023-01-01 DOI:10.3389/fncir.2023.1223891
Melissa Hernández-Frausto, Olesia M Bilash, Arjun V Masurkar, Jayeeta Basu
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引用次数: 0

摘要

GABA能抑制性神经元是大脑中抑制作用的主要来源。传统上,它们在维持兴奋-抑制平衡方面的作用一直被强调。除了稳态功能外,最近的电路映射和功能操作研究揭示了GABA能电路在时空尺度上动态倾斜兴奋-抑制耦合中发挥的广泛特定作用。这些范围从隔室和输入特定信号的门控、增益调制、形成输入输出函数和突触可塑性,到产生信噪比、定义积分和速率码的时间窗口,以及组织神经组装和协调区域间同步。因此,GABA能电路有助于控制单个神经元的计算和行为连接的网络活动。GABA能回路对感觉和记忆信息处理的活动依赖性调节对于海马中情景记忆的形成和维持至关重要。在这里,我们概述了调节海马CA1主要输出区兴奋抑制和去抑制动力学的局部和长程GABA能回路,这对情景记忆至关重要。具体而言,我们将最近关于GABA能神经元分子标记物、电生理特性和突触布线的研究结果与它们在电路水平上的功能联系起来。最后,鉴于CA1区在阿尔茨海默病的早期阶段特别受损,我们强调这些GABA能回路如何参与病理生理学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Local and long-range GABAergic circuits in hippocampal area CA1 and their link to Alzheimer's disease.

GABAergic inhibitory neurons are the principal source of inhibition in the brain. Traditionally, their role in maintaining the balance of excitation-inhibition has been emphasized. Beyond homeostatic functions, recent circuit mapping and functional manipulation studies have revealed a wide range of specific roles that GABAergic circuits play in dynamically tilting excitation-inhibition coupling across spatio-temporal scales. These span from gating of compartment- and input-specific signaling, gain modulation, shaping input-output functions and synaptic plasticity, to generating signal-to-noise contrast, defining temporal windows for integration and rate codes, as well as organizing neural assemblies, and coordinating inter-regional synchrony. GABAergic circuits are thus instrumental in controlling single-neuron computations and behaviorally-linked network activity. The activity dependent modulation of sensory and mnemonic information processing by GABAergic circuits is pivotal for the formation and maintenance of episodic memories in the hippocampus. Here, we present an overview of the local and long-range GABAergic circuits that modulate the dynamics of excitation-inhibition and disinhibition in the main output area of the hippocampus CA1, which is crucial for episodic memory. Specifically, we link recent findings pertaining to GABAergic neuron molecular markers, electrophysiological properties, and synaptic wiring with their function at the circuit level. Lastly, given that area CA1 is particularly impaired during early stages of Alzheimer's disease, we emphasize how these GABAergic circuits may contribute to and be involved in the pathophysiology.

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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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