Zi Chuan Ti Ji Yi Xi Tong Ji Qi Shen Jing Ji Zhi Autobiographical Memory System and Its Neural Correlates
Zi Chuan Ti Ji Yi Zuo Wei Yi Ge Fu Za De ,She Ji Zhong Duo Yin Su De Chang Shi Ji Yi Cheng Fen ,Ju You Du Te De Ji Yi Jie Gou ;Xiang Ying Di ,Zi Chuan Ti Ji Yi De Shen Jing Ji Zhi Ye Bao Gua Liao Zhong Duo Nao Qu Ji Yu Zi Chuan Ti Ji Yi De Fu Za Xing ,Ben Wen Zong Jie Liao Xian Qian Dui Yu Zi Chuan Ti Ji Yi Ji Qi Shen Jing Ji Zhi De Yan Jiu ,Cong Ji Yi Xi Tong De Jiao Du Dui Zi Chuan Ti Ji Yi Bao Han De Ren Zhi Jia Gong Cheng Fen Ji Xiang Ying De Shen Jing Ji Zhi Jin Xing Liao Gui Na Zong Jie ,Bing Jiu Ge Ren Zhi Jia Gong Cheng Fen Jian De Xiang Hu Lian Xi He Xiang Hu Zuo Yong Jin Xing Liao Xiang Jin De Fen Xi ;Tong Shi Fen Xi Liao Mu Qian Zi Chuan Ti Ji Yi Shen Jing Ji Zhi Yan Jiu Cun Zai De Yi Xie Ju Xian Xing ,Bao Gua Pian Zhong Qiang Diao Shi Yan Tiao Jian Jian Chai Yi Xing Er Dui Bu Tong Ren Zhi Jia Gong Cheng Fen Nao Ji Zhi Jian De Xiang Hu Lian Xi Fen Xi Bu Zu ,Zhi Guan Zhu Nao Qu Ji Huo De Kong Jian Ding Wei Er Hu Shi Shi Jian Wei Du De Chai Yi Xin Xi Deng Zui Hou Ben Wen Ti Chu Zai Jiang Lai De Yan Jiu Zhong Xu Yao Geng Duo Di Cong Xi Tong De Guan Dian Chu Fa ,Zhong Shi Ren Zhi Jia Gong Cheng Fen Jian De Xiang Hu Lian Xi ,Yin Ru Duo Ti Su Fen Xi He Shi Jian Xu Lie Fen Xi Yi Bian Neng Wei Zi Chuan Ti Ji Yi Shen Jing Ji Zhi Yan Jiu Ti Gong Geng Shen Ru De Zheng Ju Autobiographical memory, with special inherent structure, is a complex component of long term memory. It has a close relationship with semantic memory and episodic memory and is also connected with many other psychological cognitive processes, such as the emotional process, self referential process etc. Accordingly, the neural correlates of autobiographical memory consist of many brain areas, including the frontal lobe, temporal lobe, superior parietal lobe and the adjacent occipital area etc. All of the brain areas mentioned above are mainly on the left hemisphere. This article summarizes the previous researches on autobiographical memory and its neural correlates. Given the complexity of autobiographical memory, we divide different cognitive processes of autobiographical memory into 5 operating components from the perspective of memory system. These operating components include semantic component, episodic component, self referential component, emotional component and general cognitive processing component (cognitive process related to general memory retrieval) and each component has its underlying neural correlates. What is more important, these operating components interact with each other coherently within the autobiographical memory system and this article discusses these interactions and connections in depth. These interactions analyzed in this article includes the semantic episodic interaction, the self referential processing general cognitive processing interaction, the emotional episodic interaction, the general cognitive processing episodic interaction and the general cognitive processing emotional interaction. By taking the interactions among the operating components into consideration, different ideas and opinions to integrate the experiment findings are offered, and new ways and solutions to settle some heating debates in the field of autobiographical memory are proposed. Furthermore, this article points out that even though the operating components of autobiographical memory system are closely connected with one another, the previous researches didn't pay enough attention to it. This article analyzes two problems existing in the previous studies. First, most of the previous researches spent much effort in analyzing the different activated brain areas among different experiment tasks, while leaving the common brain activation alone, which might reflect the interaction and connection among the operating components. Second, those studies investigating neural correlates of autobiographical memory using brain imaging techniques tended to overlook the different brain activations at different time points, and these temporal differences may carry important information about the neural mechanism of autobiographical memory. Finally, the article proposes two analytical methods in order to solve the problems mentioned above to some extent. First is using multi voxel analysis instead of the conventional analysis method to reveal the useful information held by the common activated brain areas, second is employing time series analysis to analyze the changes of brain activation pattern in the temporal dimension. In sum, if researchers are going to investigate the neural mechanism of autobiographical memory thoroughly and offered more convincing evidence, they should treat the various cognitive processes of autobiographical memory as a whole, take the interactions among different components into consideration and pay more attention to the neural correlates underlying these interactions.