An Investigation into Transfer Effect of Brain Cognitive Training Contents with Text Network Analysis
AUTHORS
Hyeok-Min Lee,Department of Computer Engineering, Korea Polytechnic University, Gyeonggi, Republic of Korea
Sung-Wook Shin,Department of Computer Engineering, Korea Polytechnic University, Gyeonggi, Republic of Korea
Ho-Sang Moon,Department of Advanced Technology Fusion, Korea Polytechnic University, Gyeonggi, Republic of Korea
Sung-Taek Chung*,Department of Computer Engineering, Korea Polytechnic University, Gyeonggi, Republic of Korea
ABSTRACT
In this paper, we aimed to analyze the transfer effect between cognitive areas using Computerized Cognitive Training (CCT). As a way to achieve goals, pieces of literature that have the effect of improving cognitive functions using CCT for Mild Cognitive Impairment (MCI) were collected from four research databases and performed analysis of the centrality based on text networks. As a result, the comparative experimental studies that used computers and video games together as a training tool accounted for the most, and memory accounted for most of the cognitive domain targeted by the training, and a variety of contents were performed for it. The most frequent memory training method was N-Back and, the contents with the highest centrality index was the memory area, and video was the highest as a tool of intervention. In particular, memory content and attention content were more than double the different with 33 points and 16 points. However, index of closeness centrality was found to be derived relatively similar scores at 0.387, 0.381. It can be interpreted that the possibility of the transfer effect occurring from memory and attention areas since the training process between the two content is similar.
KEYWORDS
Computerized cognitive training, Mild cognitive impairment, Network centrality, Text-mining
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