Distinct topographic organization and network activity patterns of corticocollicular neurons within layer 5 auditory cortex.

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neural Circuits Pub Date : 2023-07-13 eCollection Date: 2023-01-01 DOI:10.3389/fncir.2023.1210057
Tatjana T X Schmitt, Kira M A Andrea, Simon L Wadle, Jan J Hirtz
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Abstract

The auditory cortex (AC) modulates the activity of upstream pathways in the auditory brainstem via descending (corticofugal) projections. This feedback system plays an important role in the plasticity of the auditory system by shaping response properties of neurons in many subcortical nuclei. The majority of layer (L) 5 corticofugal neurons project to the inferior colliculus (IC). This corticocollicular (CC) pathway is involved in processing of complex sounds, auditory-related learning, and defense behavior. Partly due to their location in deep cortical layers, CC neuron population activity patterns within neuronal AC ensembles remain poorly understood. We employed two-photon imaging to record the activity of hundreds of L5 neurons in anesthetized as well as awake animals. CC neurons are broader tuned than other L5 pyramidal neurons and display weaker topographic order in core AC subfields. Network activity analyses revealed stronger clusters of CC neurons compared to non-CC neurons, which respond more reliable and integrate information over larger distances. However, results obtained from secondary auditory cortex (A2) differed considerably. Here CC neurons displayed similar or higher topography, depending on the subset of neurons analyzed. Furthermore, specifically in A2, CC activity clusters formed in response to complex sounds were spatially more restricted compared to other L5 neurons. Our findings indicate distinct network mechanism of CC neurons in analyzing sound properties with pronounced subfield differences, demonstrating that the topography of sound-evoked responses within AC is neuron-type dependent.

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第 5 层听觉皮层内皮质小丘神经元独特的地形组织和网络活动模式。
听觉皮层(AC)通过下行(皮质耳聋)投射调节听觉脑干上游通路的活动。这一反馈系统通过塑造许多皮层下核团中神经元的反应特性,在听觉系统的可塑性中发挥着重要作用。第 5 层(L)皮质耳蜗神经元的大部分投射到下丘(IC)。这条皮质-会厌(CC)通路参与复杂声音的处理、与听觉相关的学习和防御行为。部分原因是由于它们位于皮层深层,CC神经元群在神经元AC集合内的活动模式仍然鲜为人知。我们利用双光子成像技术记录了麻醉动物和清醒动物的数百个 L5 神经元的活动。与其他 L5 锥体神经元相比,CC 神经元的调谐范围更广,在核心交流亚场中显示出更弱的拓扑顺序。网络活动分析显示,与非CC神经元相比,CC神经元的集群更强,其反应更可靠,整合信息的距离更远。然而,从次级听觉皮层(A2)获得的结果却大相径庭。在这里,CC 神经元显示出相似或更高的拓扑结构,这取决于所分析的神经元子集。此外,特别是在 A2 中,与其他 L5 神经元相比,CC 对复杂声音做出反应时形成的活动簇在空间上更受限制。我们的研究结果表明,CC神经元在分析声音特性时具有不同的网络机制,并存在明显的子场差异,这表明AC内声音诱发反应的拓扑结构取决于神经元类型。
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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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