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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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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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 |
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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 |
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