Effective training procedure for a simultaneous bimanual movement task in head-fixed mice.

IF 3 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neural Circuits Pub Date : 2025-08-08 eCollection Date: 2025-01-01 DOI:10.3389/fncir.2025.1633843
Kotaro Tezuka, Hironobu Osaki, Kaneyasu Nishimura, Shin-Ichiro Terada, Masanori Matsuzaki, Yoshito Masamizu
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Abstract

Bimanual movements consist of simultaneous and nonsimultaneous movements. The neural mechanisms of unimanual and nonsimultaneous bimanual movements have been explored in rodent studies through electrophysiological recordings and calcium imaging techniques. However, the neural bases of simultaneous bimanual movements remain poorly understood because of a lack of effective training procedures for such movements in head-fixed rodents. To address this issue, we developed a task in which mice simultaneously pull right and left levers with their forelimbs in a head-fixed condition. Here, we conducted sessions with the link plate in which both levers were mechanically linked to help mice learn the importance of simultaneous bimanual movements. These sessions with the link plate enabled the mice to maintain high success rates even during independent sessions, where the right and left levers could move independently. In these independent sessions, mice were not required to pull both levers at the same time, but rather simply to hold levers simultaneously for a specific period. The mice that experienced sessions with the link plate showed a significantly higher ratio of simultaneous (i.e., lag < 20 ms) than nonsimultaneous lever pulls. In contrast, mice without experience in sessions with the link plate showed no significant increase in simultaneous over nonsimultaneous pulls. This study demonstrates the efficacy of our new task in facilitating repetitive simultaneous forelimb movements in rodents and provides a basis for understanding the neural mechanisms underlying bimanual movements.

头部固定小鼠同时双手运动任务的有效训练程序。
双手动作分为同时动作和非同时动作。通过电生理记录和钙成像技术在啮齿动物研究中探索了单手和非同时双手运动的神经机制。然而,由于在头部固定的啮齿动物中缺乏有效的训练程序,因此对同时双手运动的神经基础仍然知之甚少。为了解决这个问题,我们开发了一个任务,在这个任务中,老鼠在头部固定的情况下,用它们的前肢同时拉动左右杠杆。在这里,我们用连接板进行了实验,两个杠杆都机械地连接在一起,以帮助老鼠了解同时进行双手运动的重要性。这些有连接板的实验使老鼠即使在左右杠杆可以独立移动的独立实验中也能保持很高的成功率。在这些独立的实验中,老鼠不需要同时拉动两个杠杆,而只是在一段特定的时间内同时握住杠杆。与非同时拉杆相比,经历连接板会话的小鼠显示出明显更高的同时拉杆比率(即滞后< 20 ms)。相比之下,没有接触过连接板的小鼠在同时拉扯方面没有明显增加。这项研究证明了我们的新任务在促进啮齿类动物重复同时前肢运动方面的功效,并为理解双手运动的神经机制提供了基础。
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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