Separating cognitive and motor processes in the behaving mouse

IF 20 1区 医学 Q1 NEUROSCIENCES Nature neuroscience Pub Date : 2025-02-04 DOI:10.1038/s41593-024-01859-1
Munib A. Hasnain, Jaclyn E. Birnbaum, Juan Luis Ugarte Nunez, Emma K. Hartman, Chandramouli Chandrasekaran, Michael N. Economo
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Abstract

The cognitive processes supporting complex animal behavior are closely associated with movements responsible for critical processes, such as facial expressions or the active sampling of our environments. These movements are strongly related to neural activity across much of the brain and are often highly correlated with ongoing cognitive processes. A fundamental issue for understanding the neural signatures of cognition and movements is whether cognitive processes are separable from related movements or if they are driven by common neural mechanisms. Here we demonstrate how the separability of cognitive and motor processes can be assessed and, when separable, how the neural dynamics associated with each component can be isolated. We designed a behavioral task in mice that involves multiple cognitive processes, and we show that dynamics commonly taken to support cognitive processes are strongly contaminated by movements. When cognitive and motor components are isolated using a novel approach for subspace decomposition, we find that they exhibit distinct dynamical trajectories and are encoded by largely separate populations of cells. Accurately isolating dynamics associated with particular cognitive and motor processes will be essential for developing conceptual and computational models of neural circuit function. Using a novel method for isolating cognitive and motor neural dynamics, the authors show that dynamics often attributed to cognitive processes were corrupted by movements and that distinct populations of neurons encode cognitive and motor variables.

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分离行为小鼠的认知和运动过程
支持复杂动物行为的认知过程与负责关键过程的运动密切相关,例如面部表情或对环境的主动采样。这些运动与大脑大部分区域的神经活动密切相关,并且通常与正在进行的认知过程高度相关。理解认知和运动的神经特征的一个基本问题是,认知过程是否与相关运动是可分离的,或者它们是否由共同的神经机制驱动。在这里,我们展示了如何评估认知和运动过程的可分离性,以及当可分离时,如何分离与每个组件相关的神经动力学。我们在老鼠身上设计了一项涉及多种认知过程的行为任务,我们发现通常用于支持认知过程的动态受到运动的强烈污染。当使用一种新的子空间分解方法分离认知和运动成分时,我们发现它们表现出不同的动态轨迹,并由很大程度上独立的细胞群编码。准确地分离与特定认知和运动过程相关的动力学对于开发神经回路功能的概念和计算模型至关重要。
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来源期刊
Nature neuroscience
Nature neuroscience 医学-神经科学
CiteScore
38.60
自引率
1.20%
发文量
212
审稿时长
1 months
期刊介绍: Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority. The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests. In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.
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