Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). / Bazanova, Olga; Nikolenko, Ekaterina; Zakharov, Alexander et al.
Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 143-146 (Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT)
AU - Bazanova, Olga
AU - Nikolenko, Ekaterina
AU - Zakharov, Alexander
AU - Maryanovsaya, Tatyana
PY - 2024
Y1 - 2024
N2 - This paper presents a review of literature data and our own results of the study of the factors of the procedure of EEG recording and analysis that affect the personalization and, consequently, the effectiveness of neurofeedback training (NFT). Here will be discussed localization and montage of electrodes, environmental factors such as: the time of day, body position, visual condition, duration, and sequence of closed and open eye trials during EEG recording. As feedback it is supposed to use EEG indices established individually on the basis of analysis of endophenotypic index of alpha peak frequency and neuronal activation. In this article, based on an analysis of the literature and our own results, the procedure and sequence of EEG recording and analysis, which are supposed to be carried out before and after self-control training using Neurofeedback will be presented. A rationale for each step will be given from the point of view of how this or that issue can influence the personalization and consequently, effectiveness of self-regulation training with neurofeedback to optimize its own individual neural efficiency.
AB - This paper presents a review of literature data and our own results of the study of the factors of the procedure of EEG recording and analysis that affect the personalization and, consequently, the effectiveness of neurofeedback training (NFT). Here will be discussed localization and montage of electrodes, environmental factors such as: the time of day, body position, visual condition, duration, and sequence of closed and open eye trials during EEG recording. As feedback it is supposed to use EEG indices established individually on the basis of analysis of endophenotypic index of alpha peak frequency and neuronal activation. In this article, based on an analysis of the literature and our own results, the procedure and sequence of EEG recording and analysis, which are supposed to be carried out before and after self-control training using Neurofeedback will be presented. A rationale for each step will be given from the point of view of how this or that issue can influence the personalization and consequently, effectiveness of self-regulation training with neurofeedback to optimize its own individual neural efficiency.
KW - electroencephalography
KW - index of alpha peak frequency
KW - neurofeedback
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85199155810&origin=inward&txGid=703a8a977f5004ae9b38f67f5cf3a400
UR - https://www.mendeley.com/catalogue/380fe947-0102-3b48-b9a4-6918328b5629/
U2 - 10.1109/USBEREIT61901.2024.10584063
DO - 10.1109/USBEREIT61901.2024.10584063
M3 - Conference contribution
SN - 9798350362893
T3 - Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024
SP - 143
EP - 146
BT - Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology
Y2 - 13 May 2024 through 15 May 2024
ER -
ID: 60463345