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KMID : 1151720210100020005
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Journal of Korean Society of Cognitive Rehabilitation
2021 Volume.10 No. 2 p.5 ~ p.30
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Development of Cognitive Training Difficulty Prediction Algorithm using Prefrontal Cortex Activity
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Jeun Yu-Jin
Kim Eun-Jin
Park Do-Hee
Lee Si-An
Jung Da-Bin
Jung Da-Bin
Park Jin-Hyuck
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Abstract
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Objective: The purpose of this study was to provide training with a customized difficulty and confirm its effectiveness by using the difficulty used during training as the activity of prefrontal cortex using fNIRS.
Methods: This study was conducted in two different stages. First, a study of the development of a difficulty prediction algorithm based on the activity of prefrontal cortex, and 45 subjects were recruited and data was collected. During the four cognitive tasks, the brain activity of prefrontal cortex was measured to create a dataset, and variables were selected thorough machine learning, algorithms were developed, and prediction accuracy was verified. Second, a study is to confirm the effectiveness of cognitive training by using algorithm, and one subject participated. Training was conducted five times for 30 minutes as a spatial cognitive task and before each training, the difficulty level to be used for training was measured using fNIRS and applied. Trial making test(TMT) by using fINRS was also evaluated at pre- and post-test.
Results: In order to develop an algorithm, the variable was selected as the brain activity of VLPFC and cluster of two difficulty level group. The highest accuracy was 86%, which was logistic regression algorithm. As a result of applying the developed algorithm to the subject’s customized difficulty level for spatial cognitive training, activation was increased in prefrontal cortex and performance also was increased during training.
Conclusion: These results suggested that the spatial cognitive training with subject-customized difficulty level using activity of brain would be useful in increasing in activation in prefrontal cortex and improving spatial cognition, which might have a positive effect on improving in brain efficiency.
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KEYWORD
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Brain activity of prefrontal cortex, Predicting difficulty level, Customized difficulty level, Brain efficiency
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