Consciousness and Cognition 23:12-21 (2014)
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Abstract |
Electroencephalogram based Brain–Computer Interfaces enable stroke and motor neuron disease patients to communicate and control devices. Mindfulness meditation has been claimed to enhance metacognitive regulation. The current study explores whether mindfulness meditation training can thus improve the performance of BCI users. To eliminate the possibility of expectation of improvement influencing the results, we introduced a music training condition. A norming study found that both meditation and music interventions elicited clear expectations for improvement on the BCI task, with the strength of expectation being closely matched. In the main 12 week intervention study, seventy-six healthy volunteers were randomly assigned to three groups: a meditation training group; a music training group; and a no treatment control group. The mindfulness meditation training group obtained a significantly higher BCI accuracy compared to both the music training and no-treatment control groups after the intervention, indicating effects of meditation above and beyond expectancy effects
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DOI | 10.1016/j.concog.2013.10.010 |
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References found in this work BETA
Mindfulness Meditation Improves Cognition: Evidence of Brief Mental Training☆.Fadel Zeidan, Susan K. Johnson, Bruce J. Diamond, Zhanna David & Paula Goolkasian - 2010 - Consciousness and Cognition 19 (2):597-605.
Meditation, Mindfulness and Cognitive Flexibility.Adam Moore & Peter Malinowski - 2009 - Consciousness and Cognition 18 (1):176--186.
Understanding Psychology as a Science: An Introduction to Scientific and Statistical Inference.Zoltan Dienes - 2008 - Palgrave-Macmillan.
Attentional Processes and Meditation.Holley S. Hodgins & Kathryn C. Adair - 2010 - Consciousness and Cognition 19 (4):872--878.
Mindfulness Training Affects Attention—Or is It Attentional Effort?Christian Gaden Jensen, Signe Vangkilde, Vibe Frokjaer & Steen G. Hasselbalch - 2012 - Journal of Experimental Psychology: General 141 (1):106-123.
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Citations of this work BETA
Using Bayes to Get the Most Out of Non-Significant Results.Zoltan Dienes - 2014 - Frontiers in Psychology 5.
User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface.Minkyu Ahn, Hohyun Cho, Sangtae Ahn & Sung C. Jun - 2018 - Frontiers in Human Neuroscience 12.
Exploring Training Effect in 42 Human Subjects Using a Non-Invasive Sensorimotor Rhythm Based Online BCI.Jianjun Meng & Bin He - 2019 - Frontiers in Human Neuroscience 13.
Brain–Computer Interfaces and Dualism: A Problem of Brain, Mind, and Body.Joseph Lee - 2016 - AI and Society 31 (1):29-40.
Hypnotic State Modulates Sensorimotor Beta Rhythms During Real Movement and Motor Imagery.Sébastien Rimbert, Manuel Zaepffel, Pierre Riff, Perrine Adam & Laurent Bougrain - 2019 - Frontiers in Psychology 10.
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