Individual Theta/Beta Based Algorithm for Neurofeedback Games to Improve Cognitive Abilities

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• 关键词：EEG ; Neurofeedback training ; Neurofeedback game ; Individual alpha peak frequency ; Individual alpha band width ; Theta/beta training
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9550
• 期：1
• 页码：57-73
• 全文大小：1,967 KB
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• 作者单位：Yisi Liu (19)
  Xiyuan Hou (19)
  Olga Sourina (19)
  Olga Bazanova (20)
  
  19. Fraunhofer IDM@NTU, Nanyang Technological University, Singapore, Singapore
  20. Scientific Research Institute of Physiology and Basic Medicine, Russian Academy of Medical Sciences, Moscow, Russia
  
• 丛书名：Transactions on Computational Science XXVI
• ISBN：978-3-662-49247-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

NeuroFeedback Training (NFT) can be used to enhance cognitive abilities in healthy adults. In this paper, we propose and implement a neurofeedback system which integrates an individual theta/beta based neurofeedback algorithm in a “Shooting” game. The system includes an algorithm of calculation of an Individual Alpha Peak Frequency (IAPF), Individual Alpha Band Width (IABW) and individual theta/beta ratio. Use of the individual theta/beta ratio makes the neurofeeback training more effective. We study the effectiveness of the proposed neurofeedback system with five subjects taking 6 NFT sessions each. As the neurofeedback protocol based on the power of individual theta/beta ratio training is used, each neurofeedback training session includes an IAPF, IABW and individual theta/beta ratio calculation. Subjects play the “Shooting” game to train cognitive abilities. The feedback on the player’s brain state is given by the color of the shooter’s target. If the target turns from “blue” to “red”, the player is in the “desired” brain state and is able to shoot. IAPF and IABW parameters calculated before and after NFT sessions are used for neurofeedback efficiency analysis. Our hypothesis is that after the neurofeedback training by playing the “Shooting” game, the individual alpha peak frequency increases. The results show that all subjects overall have a higher individual alpha peak frequency values right after the training or the next day.