Neural activity responsiveness by maturation of inhibition underlying critical period plasticity.

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neural Circuits Pub Date : 2025-01-22 eCollection Date: 2024-01-01 DOI:10.3389/fncir.2024.1519704
Ibuki Matsumoto, Sou Nobukawa, Takashi Kanamaru, Yusuke Sakemi, Nina Sviridova, Tomoki Kurikawa, Nobuhiko Wagatsuma, Kazuyuki Aihara
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引用次数: 0

Abstract

Introduction: Neural circuits develop during critical periods (CPs) and exhibit heightened plasticity to adapt to the surrounding environment. Accumulating evidence indicates that the maturation of inhibitory circuits, such as gamma-aminobutyric acid and parvalbumin-positive interneurons, plays a crucial role in CPs and contributes to generating gamma oscillations. A previous theory of the CP mechanism suggested that the maturation of inhibition suppresses internally driven spontaneous activity and enables synaptic plasticity to respond to external stimuli. However, the neural response to external stimuli and neuronal oscillations at the neural population level during CPs has not yet been fully clarified. In the present study, we aimed to investigate neuronal activity responsiveness with respect to the maturation of inhibition at gamma-band frequencies.

Method: We calculated inter-trial phase coherence (ITPC), which quantifies event-related phase modulations across trials, using a biologically plausible spiking neural network that generates gamma oscillations through interactions between excitatory and inhibitory neurons.

Results: Our results demonstrated that the neuronal response coherence to external periodic inputs exhibits an inverted U-shape with respect to the maturation of inhibition. Additionally, the peak of this profile was consistent with the moderate suppression of the gamma-band spontaneous activity.

Discussion: This finding suggests that the neuronal population's highly reproducible response to increased inhibition may lead to heightened synaptic plasticity. Our computational model can help elucidate the underlying mechanisms that maximize synaptic plasticity at the neuronal population level during CPs.

神经活动反应的成熟抑制潜在的关键期可塑性。
神经回路在关键时期(CPs)发育,并表现出适应周围环境的高度可塑性。越来越多的证据表明,抑制回路的成熟,如γ -氨基丁酸和parvalbumin阳性中间神经元,在CPs中起着至关重要的作用,并有助于产生伽马振荡。先前的CP机制理论认为,抑制的成熟抑制了内部驱动的自发活动,使突触可塑性能够对外部刺激作出反应。然而,在CPs期间,神经群体水平上对外部刺激和神经元振荡的神经反应尚未完全阐明。在本研究中,我们的目的是研究神经元活动的反应性与伽马波段频率的抑制成熟。方法:我们计算了试验间相位相干性(ITPC),它量化了试验中与事件相关的相位调制,使用生物学上合理的spike神经网络,该网络通过兴奋性和抑制性神经元之间的相互作用产生伽马振荡。结果:我们的研究结果表明,神经元对外部周期性输入的响应一致性在抑制成熟方面呈现倒u形。此外,该剖面的峰值与γ波段自发活动的适度抑制一致。讨论:这一发现表明,神经元群体对增加抑制的高度可重复反应可能导致突触可塑性增强。我们的计算模型可以帮助阐明在CPs期间在神经元群体水平上最大化突触可塑性的潜在机制。
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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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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