Patrick J Marino, Lindsay Bahureksa, Carmen Fernández Fisac, Emily R Oby, Adam L Smoulder, Asma Motiwala, Alan D Degenhart, Erinn M Grigsby, Wilsaan M Joiner, Steven M Chase, Byron M Yu, Aaron P Batista
{"title":"A posture subspace in the primary motor cortex.","authors":"Patrick J Marino, Lindsay Bahureksa, Carmen Fernández Fisac, Emily R Oby, Adam L Smoulder, Asma Motiwala, Alan D Degenhart, Erinn M Grigsby, Wilsaan M Joiner, Steven M Chase, Byron M Yu, Aaron P Batista","doi":"10.1016/j.neuron.2025.07.030","DOIUrl":null,"url":null,"abstract":"<p><p>To generate movements, the brain must combine information about movement goal and body posture. The motor cortex (primary motor cortex [M1]) is a key node for the convergence of these information streams. How are posture and goal signals organized within M1's activity to permit the flexible generation of movement commands? To answer this question, we recorded M1 activity while monkeys performed a variety of tasks with the forearm in a range of postures. We found that posture- and goal-related components of neural population activity were separable and resided in nearly orthogonal subspaces. The posture subspace was stable across tasks. Within each task, neural trajectories for each goal had similar shapes across postures. Our results reveal a simpler organization of posture signals in M1 than previously recognized. The compartmentalization of posture and goal signals might allow the two to be flexibly combined in the service of our broad repertoire of actions.</p>","PeriodicalId":19313,"journal":{"name":"Neuron","volume":" ","pages":""},"PeriodicalIF":15.0000,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuron","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.neuron.2025.07.030","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
To generate movements, the brain must combine information about movement goal and body posture. The motor cortex (primary motor cortex [M1]) is a key node for the convergence of these information streams. How are posture and goal signals organized within M1's activity to permit the flexible generation of movement commands? To answer this question, we recorded M1 activity while monkeys performed a variety of tasks with the forearm in a range of postures. We found that posture- and goal-related components of neural population activity were separable and resided in nearly orthogonal subspaces. The posture subspace was stable across tasks. Within each task, neural trajectories for each goal had similar shapes across postures. Our results reveal a simpler organization of posture signals in M1 than previously recognized. The compartmentalization of posture and goal signals might allow the two to be flexibly combined in the service of our broad repertoire of actions.
为了产生动作,大脑必须结合有关动作目标和身体姿势的信息。运动皮层(primary motor cortex [M1])是这些信息流汇聚的关键节点。在M1的活动中,姿态和目标信号是如何组织起来的,以允许灵活地生成运动命令?为了回答这个问题,我们记录了猴子用前臂在一系列姿势下执行各种任务时M1的活动。我们发现神经群体活动的姿势和目标相关成分是可分离的,并且位于几乎正交的子空间中。姿态子空间在任务间是稳定的。在每个任务中,每个目标的神经轨迹在不同的姿势中都有相似的形状。我们的研究结果揭示了M1中姿势信号的组织比以前认识到的更简单。姿态和目标信号的划分可能允许两者灵活地结合起来,为我们广泛的行动曲目服务。
期刊介绍:
Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.