@article{5852a64ed6914d0f894f04e93eaf47bf,
title = "Effects of an integrated neurofeedback system with dry electrodes: EEG acquisition and cognition assessment",
abstract = "Electroencephalogram (EEG) neurofeedback improves cognitive capacity and behaviors by regulating brain activity, which can lead to cognitive enhancement in healthy people and better rehabilitation in patients. The increased use of EEG neurofeedback highlights the urgent need to reduce the discomfort and preparation time and increase the stability and simplicity of the system{\textquoteright}s operation. Based on brain-computer interface technology and a multithreading design, we describe a neurofeedback system with an integrated design that incorporates wearable, multichannel, dry electrode EEG acquisition equipment and cognitive function assessment. Then, we evaluated the effectiveness of the system in a single-blind control experiment in healthy people, who increased the alpha frequency band power in a neurofeedback protocol. We found that upregulation of the alpha power density improved working memory following short-term training (only five training sessions in a week), while the attention network regulation may be related to other frequency band activities, such as theta and beta. Our integrated system will be an effective neurofeedback training and cognitive function assessment system for personal and clinical use.",
keywords = "Alpha band training, Dry electrode, Neurofeedback integrated system, Working memory",
author = "Guangying Pei and Jinglong Wu and Duanduan Chen and Guoxin Guo and Shuozhen Liu and Mingxuan Hong and Tianyi Yan",
note = "Funding Information: This work was supported by the National Key Research and Development Program of China under grant 2018YFC0115400, the National Natural Science Foundation of China (Grant No. 81671776, 81471752, 61727807, 61633018), the Beijing Municipal Science & Technology Commission (Z161100002616020, Z181100003118007), the Beijing Nova Program (Grant No. Z171100001117057). The authors thank the individuals who participated in our study. Funding Information: Funding: This work was supported by the National Key Research and Development Program of China under grant 2018YFC0115400, the National Natural Science Foundation of China (Grant No. 81671776, 81471752, 61727807, 61633018), the Beijing Municipal Science & Technology Commission (Z161100002616020, Z181100003118007), the Beijing Nova Program (Grant No. Z171100001117057). Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2018",
month = oct,
day = "11",
doi = "10.3390/s18103396",
language = "English",
volume = "18",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",
}