CAJ | 학술논문

功能磁共振技术在表象研究中得到广泛应用是表象研究追求客观化精确性的必然趋势。本文介绍了功能磁共振多变量模式分析方法及其演变历程，探讨了借助该方法实现“视觉表象可视化”的理论依据与亟待解决的关键问题。分析指出“视觉表象可视化”将为表象研究提供全新的研究视角与方法途径。
공능자공진기술재표상연구중득도엄범응용시표상연구추구객관화정학성적필연추세。본문개소료공능자공진다변량모식분석방법급기연변역정，탐토료차조해방법실현“시각표상가시화”적이론의거여극대해결적관건문제。분석지출“시각표상가시화”장위표상연구제공전신적연구시각여방법도경。
Over the past decade, fMRI researchers have developed increasingly aen,sitive techniques for analyzing the information repre- sented in BOLD activity. The current understanding of the goal of many fMRI studies has been achieved by extracting representational information from analyzing fMRI data in some specific region 4 the brain rather than just comparing the activation difference among experiment conditions. Multivariate pattern analysis is one of methods which have recently emerged as a promising computational technique m neurolmaging, studies. Recently, the multivariate pattern analysis method based of fMRI technology has been widely used in the field of the neuroscienee, which is significantly changing the related question and methods of the. studies of cognition. Specifically, the multivariate pattern analysis method will be applied to the study of mental imagery with the aim to improve the research of the essence and its related function of mental imagery processing. In this study. we introduced the principle and the history of the multivariate pattern analysis method; we showed the advantage of the mutlvariate pattern analysis method when compared with thai of the traditional method such as the fMRI analysis based on a general linear model. Then. we introduced the different stages of the multivariate pattern analysis in the neuroimaging studies including the classification, identification, and reconstruction. In the aspect of the classification ; the researchers focused on analyzing data from the decoding perspective and a ttemod to determine how much could be learned about the sensory stimuli, cognitive state, movement and： so on：, where the linear classifier such as the support vector machine and linear fisher classifier was widely used. In the aspect, of the stimuli identffication, the researchers were interested in underanng how activity varies in different brain regions when there is concurrent variation in the world by analyzing fMRI data with the encoding model such as the general linear model. In the aspect, of the image reconstuction, the qorresponding relationskip between the stimuli ploperties and the neural activity patterns was established, and then the Bcyesian mobil was applied to reconstruct the visua image of the stimuli from the neural activity pattern in the brain. Taken together, we indicated the developing process and the logic of the three ,rages. Based on this, we introduced the dilemma of the mentai imagery study. and the necessity of the. Opplication, of the multivariate pattern anoXysis method in the studies of mental imagery. Then, we analyzdd the advantage of the applieation of multisariate pattern analysis in mental imagery study. Specifically. we discussed the basis of the approach of： visoalization of the mental imagery from the fMRI brain activity pattern. In this article, we introduced the basic etaims of the perception theory in the field of mental imagery that mental imagery serves to activate most of the same brain regions involved io the visual perception to modulate the visual stimuli processing, where the lateral occipital complex region is the critical region. The study proposed that the visualization of the. visualization of the mental imagery will contribute to providing the new viewpoints and methods for the study of mental imagery.