2017
DOI: 10.1007/s10484-017-9383-z
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The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI

Abstract: The challenges of research into brain–computer interfaces (BCI) include significant individual differences in learning pace and in the effective operation of BCI devices. The use of neurofeedback training is a popular method of improving the effectiveness BCI operation. The purpose of the present study was to determine to what extent it is possible to improve the effectiveness of operation of sensorimotor rhythm-based brain–computer interfaces (SMR-BCI) by supplementing user training with elements modifying th… Show more

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Cited by 33 publications
(20 citation statements)
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“…Given the disparities in the related evidence, this aspect should be investigated in controlled studies in the future. Attempts to explain the late effect observed in the motor areas should take into account the evidence suggesting that beta-band desynchronisation is associated with real or imagined movement and in particular with motor planning (Alegre et al 2003; Kaiser et al 2001; Kilner et al 2005; Klostermann et al 2007; Tzagarakis et al 2010; Zapała et al 2018). At the final stage before responding, the participant compares the objects and chooses the answer, preparing to press the appropriate key.…”
Section: Discussionmentioning
confidence: 99%
“…Given the disparities in the related evidence, this aspect should be investigated in controlled studies in the future. Attempts to explain the late effect observed in the motor areas should take into account the evidence suggesting that beta-band desynchronisation is associated with real or imagined movement and in particular with motor planning (Alegre et al 2003; Kaiser et al 2001; Kilner et al 2005; Klostermann et al 2007; Tzagarakis et al 2010; Zapała et al 2018). At the final stage before responding, the participant compares the objects and chooses the answer, preparing to press the appropriate key.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the output of a classifier is feedbacked to help the participants/patients to exercise voluntary self-regulation on the specific brain area. The feedback can be presented in the form of visual ( deCharms et al, 2004 ; Chiew et al, 2012 ; Sitaram et al, 2012 ; Veit et al, 2012 ; Zapaa et al, 2018 ), auditory ( Posse et al, 2003 ; Yoo et al, 2006 ), and virtual reality ( Lorenzetti et al, 2018 ).…”
Section: Role Of the Initial Dip In Bcimentioning
confidence: 99%
“…Critically, sensory feedback is provided to the user, traditionally in the form of visual feedback. 45,46 Auditory 47 and haptic feedback approaches 48,49 are also being explored. 53 or of EEG and fMRI.…”
Section: What Is a Brain-computer Interface?mentioning
confidence: 99%