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  Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks

Ruiz, S., Buyukturkoglu, K., Rana, M., Birbaumer, N., & Sitaram, R. (2014). Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks. Biological Psychology, 95, 4-20. doi:10.1016/j.biopsycho.2013.04.010.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-2C92-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-2C93-8
Genre: Journal Article

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Ruiz, S, Author
Buyukturkoglu, K, Author
Rana, M, Author
Birbaumer, N, Author
Sitaram, Ranganatha1, Author              
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1Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, ou_persistent22              

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 Abstract: With the advent of brain computer interfaces based on real-time fMRI (rtfMRI-BCI), the possibility of performing neurofeedback based on brain hemodynamics has become a reality. In the early stage of the development of this field, studies have focused on the volitional control of activity in circumscribed brain regions. However, based on the understanding that the brain functions by coordinated activity of spatially distributed regions, there have recently been further developments to incorporate real-time feedback of functional connectivity and spatio-temporal patterns of brain activity. The present article reviews the principles of rtfMRI neurofeedback, its applications, benefits and limitations. A special emphasis is given to the discussion of novel developments that have enabled the use of this methodology to achieve self-regulation of the functional connectivity between different brain areas and of distributed brain networks, anticipating new and exciting applications for cognitive neuroscience and for the potential alleviation of neuropsychiatric disorders.

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 Dates: 2014-01
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.biopsycho.2013.04.010
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Title: Biological Psychology
Source Genre: Journal
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Pages: - Volume / Issue: 95 Sequence Number: - Start / End Page: 4 - 20 Identifier: -