Suppr超能文献

光点显示抓握动作的方向和速度运动学特征在动作观察网络中被差异化编码。

Direction and velocity kinematic features of point-light displays grasping actions are differentially coded within the action observation network.

机构信息

Department of Medicine and Surgery, University of Parma, Parma 43125, Italy.

Department of Medicine and Surgery, University of Parma, Parma 43125, Italy; Neuroradiology unit, University Hospital of Parma, Parma 43125, Italy.

出版信息

Neuroimage. 2024 Dec 1;303:120939. doi: 10.1016/j.neuroimage.2024.120939. Epub 2024 Nov 17.

Abstract

The processing of kinematic information embedded in observed actions is an essential ability for understanding others' behavior. Previous research showed that the action observation network (AON) may encode some action kinematic features. However, our understanding of how direction and velocity are encoded within the AON is still limited. In this study, we employed event-related fMRI to investigate the neural substrates specifically activated during observation of hand grasping actions presented as point-light displays, performed with different directions (right, left) and velocities (fast, slow). Twenty-three healthy adult participants took part in the study. To identify brain regions differentially recruited by grasping direction and velocity, univariate and multivariate pattern analysis (MVPA) were performed. The results of univariate analysis demonstrate that direction is encoded in occipito-temporal and posterior visual areas, while velocity recruits lateral occipito-temporal, superior parietal and intraparietal areas. Results of MVPA further show: a) a significant decoding accuracy of both velocity and direction at the network level; b) the possibility to decode within lateral occipito-temporal and parietal areas both direction and velocity; c) a contribution of bilateral premotor areas to velocity decoding models. These results indicate that posterior parietal nodes of the AON are mainly involved in coding grasping direction and that premotor regions are crucial for coding grasping velocity, while lateral occipito-temporal cortices play a key role in encoding both parameters. The current findings could have implications for observational-based rehabilitation treatments of patients with motor disorders and artificial intelligence-based hand action recognition models.

摘要

运动信息的处理是理解他人行为的基本能力,这些信息嵌入在观察到的动作中。先前的研究表明,动作观察网络(AON)可能对一些动作运动特征进行编码。然而,我们对 AON 中如何编码方向和速度的理解仍然有限。在这项研究中,我们采用事件相关 fMRI 来研究在观察点光显示的手抓动作时,大脑中特定激活的神经基质,这些动作的执行方向(右、左)和速度(快、慢)不同。23 名健康成年参与者参与了这项研究。为了确定由抓握方向和速度差异招募的大脑区域,我们进行了单变量和多变量模式分析(MVPA)。单变量分析的结果表明,方向编码在枕颞和后视觉区域,而速度则招募外侧枕颞、顶叶和顶内区域。MVPA 的结果进一步表明:a)在网络水平上,速度和方向的解码准确性显著;b)在外侧枕颞和顶叶区域内,同时解码方向和速度的可能性;c)双侧运动前区对速度解码模型的贡献。这些结果表明,AON 的后顶叶节点主要参与编码抓握方向,而运动前区域对编码抓握速度至关重要,而外侧枕颞皮质在编码这两个参数方面起着关键作用。目前的发现可能对基于观察的运动障碍患者康复治疗和基于人工智能的手部动作识别模型具有重要意义。

相似文献

7
Action observation circuits in the macaque monkey cortex.食蟹猕猴大脑皮层中的动作观察回路。
J Neurosci. 2011 Mar 9;31(10):3743-56. doi: 10.1523/JNEUROSCI.4803-10.2011.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验