Real-time fMRI brain-computer interface: Development of a motivational feedback subsystem for the regulation of visual cue reactivity
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Sokunbi, Moses O. | en |
| dc.contributor.author | Linden, D.E.J. | en |
| dc.contributor.author | Habes, I. | en |
| dc.contributor.author | Johnston, S. | en |
| dc.contributor.author | Ihssen, N. | en |
| dc.date.accessioned | 2018-02-20T14:24:42Z | |
| dc.date.available | 2018-02-20T14:24:42Z | |
| dc.date.issued | 2014-11-25 | |
| dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link | en |
| dc.description.abstract | Here we present a novel neurofeedback subsystem for the presentation of motivationally relevant visual feedback during the self-regulation of functional brain activation. Our “motivational neurofeedback” approach uses functional magnetic resonance imaging (fMRI) signals elicited by visual cues (pictures) and related to motivational processes such as craving or hunger. The visual feedback subsystem provides simultaneous feedback through these images as their size corresponds to the magnitude of fMRI signal change from a target brain area. During self-regulation of cue-evoked brain responses, decreases and increases in picture size thus provide real motivational consequences in terms of cue approach vs. cue avoidance, which increases face validity of the approach in applied settings. Further, the outlined approach comprises of neurofeedback (regulation) and “mirror” runs that allow to control for non-specific and task-unrelated effects, such as habituation or neural adaptation. The approach was implemented in the Python programming language. Pilot data from 10 volunteers showed that participants were able to successfully down-regulate individually defined target areas, demonstrating feasibility of the approach. The newly developed visual feedback subsystem can be integrated into protocols for imaging-based brain-computer interfaces (BCI) and may facilitate neurofeedback research and applications into healthy and dysfunctional motivational processes, such as food craving or addiction. | en |
| dc.funder | This study was supported by the BRAINTRAIN grant, funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602186, a seed corn grant of the MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University and MRC grant G1100629. | en |
| dc.identifier.citation | Sokunbi, M.O., Linden, D.E.J., Habes, I., Johnston, S. and Ihssen, N. (2014) Real-time fMRI brain-computer interface: Development of a motivational feedback subsystem for the regulation of visual cue reactivity. Frontiers in Behavioral Neuroscience. | en |
| dc.identifier.doi | https://doi.org/10.3389/fnbeh.2014.00392 | |
| dc.identifier.issn | 1662-5196 | |
| dc.identifier.uri | http://hdl.handle.net/2086/15251 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | no. 602186 and G1100629 | en |
| dc.publisher | Frontiers Media | en |
| dc.researchinstitute | Institute for Allied Health Sciences Research | en |
| dc.subject | brain-computer interface (BCI) | en |
| dc.subject | hunger | en |
| dc.subject | visual cue reactivity | en |
| dc.subject | food craving | en |
| dc.subject | functional magnetic resonance imaging (fMRI) | en |
| dc.title | Real-time fMRI brain-computer interface: Development of a motivational feedback subsystem for the regulation of visual cue reactivity | en |
| dc.type | Article | en |