title: [Changes in the Spectral Characteristics of EEG during Neurofeedback Training].
abstract: We used the ratio of spectral characteristics of the EEG alpha and beta frequencies recorded in 10 apparently healthy subjects (university students) to control a computer cursor in the graphic interface in three scenarios with the use of neurofeedback. Our results showed that the scenario which uses the power of alpha- and beta-2-frequencies provided the highest accuracy and the best speed control. The parameters of beta-1-frequency were found to be less effective since an increase or a decrease of their power could result from an increase or a decrease of the power of alpha- and beta-2-frequencies. However, the subjects got the skill of cursor control with efficiency of 81%, gradually growing during learning, after a relatively short period of time (5 trainings per 2 weeks).
authors.forename: V N
authors.initials: VN
authors.lastname: Kiroy
authors.forename: D M
authors.initials: DM
authors.lastname: Lazurenko
authors.forename: I E
authors.initials: IE
authors.lastname: Shepelev
authors.forename: N R
authors.initials: NR
authors.lastname: Minyaeva
authors.forename: E V
authors.initials: EV
authors.lastname: Aslanyan
authors.forename: O M
authors.initials: OM
authors.lastname: Bakhtin
authors.forename: D G
authors.initials: DG
authors.lastname: Shaposhnikov
authors.forename: B M
authors.initials: BM
authors.lastname: Vladimirskiy
mesh_terms: D000328:Adult; D000513:Alpha Rhythm; D001611:Beta Rhythm; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D058765:Neurofeedback / Q000502:physiology*; D013647:Task Performance and Analysis; D013997:Time Factors; D014584:User-Computer Interface; D055815:Young Adult