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Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity

Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity

Gruzelier, J. H., Thompson, T. ORCID: 0000-0001-9880-782X, Redding, E., Brandt, R. and Steffert, T. (2014) Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity. International Journal of Psychophysiology, 93 (1). pp. 105-111. ISSN 0167-8760 (doi:10.1016/j.ijpsycho.2013.05.004)

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Abstract

As one in a series on the impact of EEG-neurofeedback in the performing arts, we set out to replicate a previous dance study in which alpha/theta (A/T) neurofeedback and heart rate variability (HRV) biofeedback enhanced performance in competitive ballroom dancers compared with controls. First year contemporary dance conservatoire students were randomised to the same two psychophysiological interventions or a choreology instruction comparison group or a no-training control group. While there was demonstrable neurofeedback learning, there was no impact of the three interventions on dance performance as assessed by four experts. However, HRV training reduced anxiety and the reduction correlated with improved technique and artistry in performance; the anxiety scale items focussed on autonomic functions, especially cardiovascular activity. In line with the putative impact of hypnogogic training on creativity A/T training increased cognitive creativity with the test of unusual uses, but not insight problems. Methodological and theoretical implications are considered.

Item Type: Article
Uncontrolled Keywords: Neurofeedback; EEG; Heart rate variability; Dance; Mood Creativity
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / Department / Research Group: Faculty of Education & Health
Last Modified: 21 Oct 2016 15:06
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/15826

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