Cargando…

fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment

Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing algorithms, and robust statistical analys...

Descripción completa

Detalles Bibliográficos
Autores principales: Sitaram, Ranganatha, Caria, Andrea, Veit, Ralf, Gaber, Tilman, Rota, Giuseppina, Kuebler, Andrea, Birbaumer, Niels
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233807/
https://www.ncbi.nlm.nih.gov/pubmed/18274615
http://dx.doi.org/10.1155/2007/25487
_version_ 1782150303635734528
author Sitaram, Ranganatha
Caria, Andrea
Veit, Ralf
Gaber, Tilman
Rota, Giuseppina
Kuebler, Andrea
Birbaumer, Niels
author_facet Sitaram, Ranganatha
Caria, Andrea
Veit, Ralf
Gaber, Tilman
Rota, Giuseppina
Kuebler, Andrea
Birbaumer, Niels
author_sort Sitaram, Ranganatha
collection PubMed
description Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing algorithms, and robust statistical analysis are anticipated to make fMRI-BCI more widely available and applicable. This noninvasive technique could potentially complement the traditional neuroscientific experimental methods by varying the activity of the neural substrates of a region of interest as an independent variable to study its effects on behavior. If the neurobiological basis of a disorder (e.g., chronic pain, motor diseases, psychopathy, social phobia, depression) is known in terms of abnormal activity in certain regions of the brain, fMRI-BCI can be targeted to modify activity in those regions with high specificity for treatment. In this paper, we review recent results of the application of fMRI-BCI to neuroscientific research and psychophysiological treatment.
format Text
id pubmed-2233807
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-22338072008-02-14 fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment Sitaram, Ranganatha Caria, Andrea Veit, Ralf Gaber, Tilman Rota, Giuseppina Kuebler, Andrea Birbaumer, Niels Comput Intell Neurosci Review Article Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing algorithms, and robust statistical analysis are anticipated to make fMRI-BCI more widely available and applicable. This noninvasive technique could potentially complement the traditional neuroscientific experimental methods by varying the activity of the neural substrates of a region of interest as an independent variable to study its effects on behavior. If the neurobiological basis of a disorder (e.g., chronic pain, motor diseases, psychopathy, social phobia, depression) is known in terms of abnormal activity in certain regions of the brain, fMRI-BCI can be targeted to modify activity in those regions with high specificity for treatment. In this paper, we review recent results of the application of fMRI-BCI to neuroscientific research and psychophysiological treatment. Hindawi Publishing Corporation 2007 2007-11-25 /pmc/articles/PMC2233807/ /pubmed/18274615 http://dx.doi.org/10.1155/2007/25487 Text en Copyright © 2007 Ranganatha Sitaram et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Sitaram, Ranganatha
Caria, Andrea
Veit, Ralf
Gaber, Tilman
Rota, Giuseppina
Kuebler, Andrea
Birbaumer, Niels
fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title_full fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title_fullStr fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title_full_unstemmed fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title_short fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
title_sort fmri brain-computer interface: a tool for neuroscientific research and treatment
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233807/
https://www.ncbi.nlm.nih.gov/pubmed/18274615
http://dx.doi.org/10.1155/2007/25487
work_keys_str_mv AT sitaramranganatha fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT cariaandrea fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT veitralf fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT gabertilman fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT rotagiuseppina fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT kueblerandrea fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment
AT birbaumerniels fmribraincomputerinterfaceatoolforneuroscientificresearchandtreatment