ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2012, Vol. 20 ›› Issue (9): 1393-1400.doi: 10.3724/SP.J.1042.2012.01393

• 研究前沿 • 上一篇    下一篇

失用性失写的脑机制

冉光明;陈旭;马建苓;潘彦谷;胡天强   

  1. 西南大学心理学部, 西南大学心理健康教育研究中心, 重庆 400715
  • 收稿日期:2011-12-06 出版日期:2012-09-15 发布日期:2012-09-15
  • 通讯作者: 陈旭

Neural Mechanism of Apraxia Agraphia

RAN Guang-Ming;CHEN Xu;MA Jian-Ling;PAN Yan-Gu;HU Tian-Qiang   

  1. Faculty of Psychology, Southwest University; Research Center of Mental Health Education, Southwest University, Chongqing 400715, China
  • Received:2011-12-06 Online:2012-09-15 Published:2012-09-15
  • Contact: CHEN Xu

摘要: 失用性失写是指人们知道该如何书写, 但实际上却不会书写或错误书写的一种现象。失用性失写涉及的神经网络包括皮层与皮层连接、皮层与皮质下连接。其中前者包括额-顶叶相关脑区的连接、顶-枕叶相关脑区的连接以及额-顶-枕相关脑区的连接, 这些神经网络分别负责操作空间表征图像、回忆以及检索字母的形状等; 后者包括小脑与额-顶叶的连接、左丘脑-大脑皮质的连接以及纹状体-内囊-左额顶叶的连接等, 它们分别与图像输出程序、书写运动过程、操作指令的执行过程以及字素形成过程等有关。今后的研究应该集中在完善失用性失写的研究范式、深入探讨失用性失写的心理机制以及推动其康复工作的开展等方面。

关键词: 失用性失写, 神经成像技术, 神经网络, 脑机制

Abstract: Apraxic agraphia refers to the phenomenon that people can’t write or can’t write correctly though they know how to write. The neural network involving in apraxic agraphia includes the cortico-cortical connection and cortico-subcortical junction. Three subtypes involved in the cortico-cortical connection include the frontal-parietal junction, the parieto-occipital connection and the network which is associated with the frontal lobe, parietal lobe, occipital lobe and temporal lobe. These subtypes are in charge of the spatial manipulations of represented images, recalling and retrievaling the forms of characters. The other neural network is the cortico-subcortical junction, which consisted of the cerebellar-cortical connection, thalamo-cortical junction, and the network including the corpus striatum, internal capsule and cerebral cortex. They are related to the graphic output programming, the formation of grapheme, and the praxis command. Future researches need focus on psychological and mental mechanism of apraxic agraphia and rehabilitation work of it.

Key words: apraxia agraphia, neuroimaging technologies, neural network, neural mechanism