Automatic detection of foot-strike onsets in a rhythmic forelimb movement

IF 2.4 4区 医学 Q3 NEUROSCIENCES Neuroscience Research Pub Date : 2024-09-01 DOI:10.1016/j.neures.2024.04.002
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引用次数: 0

Abstract

Rhythmic movement is the fundamental motion dynamics characterized by repetitive patterns. Precisely defining onsets in rhythmic movement is essential for a comprehensive analysis of motor functions. Our study introduces an automated method for detecting rat's forelimb foot-strike onsets using deep learning tools. This method demonstrates high accuracy of onset detection by combining two techniques using joint coordinates and behavioral confidence scale. The analysis extends to neural oscillatory responses in the rat's somatosensory cortex, validating the effectiveness of our combined approach. Our technique streamlines experimentation, demanding only a camera and GPU-accelerated computer. This approach is applicable across various contexts and promotes our understanding of brain functions during rhythmic movements.

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自动检测有节奏的前肢运动中的击脚起始点
节奏运动是以重复模式为特征的基本运动动力。精确定义节律运动的起始点对于全面分析运动功能至关重要。我们的研究介绍了一种利用深度学习工具自动检测大鼠前肢脚部击球起始点的方法。该方法结合了使用联合坐标和行为置信度的两种技术,证明了起始检测的高准确性。分析扩展到大鼠躯体感觉皮层的神经振荡反应,验证了我们的组合方法的有效性。我们的技术简化了实验过程,只需要一个摄像头和GPU加速计算机。这种方法适用于各种环境,有助于我们了解有节奏运动时的大脑功能。
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来源期刊
Neuroscience Research
Neuroscience Research 医学-神经科学
CiteScore
5.60
自引率
3.40%
发文量
136
审稿时长
28 days
期刊介绍: The international journal publishing original full-length research articles, short communications, technical notes, and reviews on all aspects of neuroscience Neuroscience Research is an international journal for high quality articles in all branches of neuroscience, from the molecular to the behavioral levels. The journal is published in collaboration with the Japan Neuroscience Society and is open to all contributors in the world.
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