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触觉信息处理及其脑机制
引用本文:周丽丽,姚欣茹,汤征宇,任巧悦,吕雪靖,胡理.触觉信息处理及其脑机制[J].科技导报(北京),2017,35(19):37-43.
作者姓名:周丽丽  姚欣茹  汤征宇  任巧悦  吕雪靖  胡理
作者单位:1. 中国科学院心理研究所;中国科学院心理健康重点实验室, 北京 100101;2. 中国科学院大学心理学系, 北京 100049
基金项目:国家自然科学基金项目(31471082,31671141);中国科学院心理研究所青年人才科研启动项目(Y6CX021008)
摘    要: 触觉不仅包含对物理特征的感知,还包括对情感性信息的识别,其信息的整合是人类认识环境的基础。本文阐述了编码不同特征触觉信息的皮肤感受器是触觉信息感知的结构基础;讨论了触觉信息在外周和中枢神经系统的加工机制。其中脊髓背角是触觉信息在皮层下水平加工的初级枢纽,躯体感觉皮层是加工触觉信息的主要脑区,且针对不同特征的触觉信息加工,存在相对独立的脑网络连接。本文还探讨了触觉与跨模态感觉的交互作用,揭示了多模态感觉信息整合的神经机制及其广泛的应用价值。

关 键 词:感知觉  触觉信息  跨模态  神经机制  实际应用  
收稿时间:2017-05-31

Neural mechanisms of tactile information processing
ZHOU Lili,YAO Xinru,TANG Zhengyu,REN Qiaoyue,L&#,Xuejing,HU Li.Neural mechanisms of tactile information processing[J].Science & Technology Review,2017,35(19):37-43.
Authors:ZHOU Lili  YAO Xinru  TANG Zhengyu  REN Qiaoyue  L&#  Xuejing  HU Li
Institution:1. Key Laboratory of Mental Health;Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China;2. Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:To perceive external environment more efficiently, the sensory information derived from the modality of touch, or tactile information, is processed in terms of its physical features and affective responses to these features. This review summarizes the current understanding about how haptic information is processed in skin, spinal cord, and cerebral cortex of animals and humans. Typically, different non-noxious somatosensory information is coded by various cutaneous sensory neurons called low-threshold mechanoreceptors (LTMRs). Next, haptic processing starts at the dorsal horn of the spinal cord, and then it partially segregates into different pathways, transmitting information to the somatosensory cortex, the first crucial brain area for haptic information processing. Moreover, several relatively independent brain networks are responsible for the processing of different properties of haptic information. Finally, by discussing the interactions between touch and other sensory modalities, we argue that such interactions are plastic, which is warranted in the future work to generate extensive value in applications.
Keywords:sensory perception  haptic information  cross-modality  neural mechanisms  applications  
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