Silva Sophia Arruda Da Costa E, McDonald Nicholas J, Chamaria Arushi, Stujenske Joseph M
University of Pittsburgh, Department of Psychiatry, Translational Neuroscience Program, Pittsburgh, Pennsylvania, United States.
University of Pittsburgh, Kenneth P. Dietrich School of Arts and Sciences, Pittsburgh, Pennsylvania, United States.
Neurophotonics. 2025 Jan;12(Suppl 1):S14607. doi: 10.1117/1.NPh.12.S1.S14607. Epub 2025 Jan 28.
Internal states involve brain-wide changes that subserve coordinated behavioral and physiological responses for adaptation to changing environments and body states. Investigations of single neurons or small populations have yielded exciting discoveries for the field of neuroscience, but it has been increasingly clear that the encoding of internal states involves the simultaneous representation of multiple different variables in distributed neural ensembles. Thus, an understanding of the representation and regulation of internal states requires capturing large population activity and benefits from approaches that allow for parsing intermingled, genetically defined cell populations. We will explain imaging technologies that permit recording from large populations of single neurons in rodents and the unique capabilities of these technologies in comparison to electrophysiological methods. We will focus on findings for appetitive and aversive states given their high relevance to a wide range of psychiatric disorders and briefly explain how these approaches have been applied to models of psychiatric disease in rodents. We discuss challenges for studying internal states which must be addressed with future studies as well as the therapeutic implications of findings from rodents for improving treatments for psychiatric diseases.
内部状态涉及全脑范围的变化,这些变化有助于产生协调的行为和生理反应,以适应不断变化的环境和身体状态。对单个神经元或小群体神经元的研究为神经科学领域带来了令人兴奋的发现,但越来越清楚的是,内部状态的编码涉及在分布式神经集合中同时表征多个不同变量。因此,要理解内部状态的表征和调节,就需要捕捉大量神经元群体的活动,并受益于能够解析混合的、基因定义的细胞群体的方法。我们将解释能够记录啮齿动物大量单个神经元活动的成像技术,以及与电生理方法相比这些技术的独特能力。鉴于食欲和厌恶状态与广泛的精神疾病高度相关,我们将重点介绍这方面的研究结果,并简要解释这些方法如何应用于啮齿动物的精神疾病模型。我们讨论了研究内部状态所面临的挑战,这些挑战必须在未来的研究中加以解决,同时还讨论了啮齿动物研究结果对改善精神疾病治疗的治疗意义。