Ma Fangyuan, Xu Junhai, Li Xianglin, Wang Peiyuan, Wang Bin, Liu Baolin
School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, 300350, People's Republic of China.
Medical Imaging Research Institute, Binzhou Medical University, Yantai, 264003, Shandong, People's Republic of China.
Exp Brain Res. 2018 Mar;236(3):907-918. doi: 10.1007/s00221-018-5175-9. Epub 2018 Jan 23.
Humans can skillfully recognize actions from others' body motion and make a judgment or response at once. Previous neuroimaging studies have mostly utilized diminished and brief human motion stimuli and indicated that human occipito-temporal cortex plays a critical role at biological motion recognition. It remains unclear to what extent that the areas related to human motion perception are involved in decoding basic movements. Because human movement naturally stems from the sequences of body posture, so we utilized the stimulus of real movements. Participants were presented four categories of human movements (jump, run, skip and walk) in a blocked fMRI experiment. Multi-voxel pattern analysis (MVPA) was adopted to assess whether different movements could be discriminated in four regions. We found that movement-specific information was represented in both human body-sensitive areas, extrastriate body area (EBA) and motion-sensitive areas, posterior superior temporal sulcus (pSTS) and human middle temporal complex (hMT+). Additionally, a further functional connectivity analysis using EBA as a seed was conducted and it suggested that EBA showed a task-modulated functional connectivity with multiple areas that were involved in the behavior perception and motor control. Human motion processing appeared to be completed in a distributed network. The occipito-temporal cortex may perform the initial processing of human motion information extracting, and then transform them to interconnected areas for a further utilization.
人类能够巧妙地从他人的身体动作中识别动作,并立即做出判断或反应。先前的神经影像学研究大多使用简化和短暂的人类运动刺激,并表明人类枕颞叶皮层在生物运动识别中起关键作用。目前尚不清楚与人类运动感知相关的区域在多大程度上参与解码基本动作。由于人类运动自然源于身体姿势的序列,因此我们使用了真实运动的刺激。在一项组块设计的功能磁共振成像实验中,向参与者呈现了四类人类运动(跳跃、跑步、单脚跳和行走)。采用多体素模式分析(MVPA)来评估在四个区域中是否可以区分不同的运动。我们发现,运动特异性信息在人体敏感区域、纹外体区(EBA)和运动敏感区域、颞上沟后部(pSTS)和人类颞中复合体(hMT+)中均有体现。此外,以EBA为种子进行了进一步的功能连接分析,结果表明EBA与多个参与行为感知和运动控制的区域呈现出任务调制的功能连接。人类运动处理似乎是在一个分布式网络中完成的。枕颞叶皮层可能对人类运动信息提取进行初始处理,然后将其传递到相互连接的区域以供进一步利用。