| pubmed-article:17451904 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17451904 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
| pubmed-article:17451904 | lifeskim:mentions | umls-concept:C0376335 | lld:lifeskim |
| pubmed-article:17451904 | lifeskim:mentions | umls-concept:C0185125 | lld:lifeskim |
| pubmed-article:17451904 | pubmed:issue | 6 | lld:pubmed |
| pubmed-article:17451904 | pubmed:dateCreated | 2007-7-27 | lld:pubmed |
| pubmed-article:17451904 | pubmed:abstractText | Functional magnetic resonance imaging (fMRI) has been limited by time-consuming data analysis and a low signal-to-noise ratio, impeding online analysis. Recent advances in acquisition techniques, computational power and algorithms increased the sensitivity and speed of fMRI significantly, making real-time analysis and display of fMRI data feasible. So far, most reports have focused on the technical aspects of real-time fMRI (rtfMRI). Here, we provide an overview of the different major areas of applications that became possible with rtfMRI: online analysis of single-subject data provides immediate quality assurance and functional localizers guiding the main fMRI experiment or surgical interventions. In teaching, rtfMRI naturally combines all essential parts of a neuroimaging experiment, such as experimental design, data acquisition and analysis, while adding a high level of interactivity. Thus, the learning of essential knowledge required to conduct functional imaging experiments is facilitated. rtfMRI allows for brain-computer interfaces (BCI) with a high spatial and temporal resolution and whole-brain coverage. Recent studies have shown that such BCI can be used to provide online feedback of the blood-oxygen-level-dependent signal and to learn the self-regulation of local brain activity. Preliminary evidence suggests that this local self-regulation can be used as a new paradigm in cognitive neuroscience to study brain plasticity and the functional relevance of brain areas, even being potentially applicable for psychophysiological treatment. | lld:pubmed |
| pubmed-article:17451904 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17451904 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17451904 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17451904 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17451904 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17451904 | pubmed:month | Jul | lld:pubmed |
| pubmed-article:17451904 | pubmed:issn | 0730-725X | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:BirbaumerNiel... | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:JosephsOliver... | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:DeichmannRalf... | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:MathiakKlausK | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:GoebelRainerR | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:WeiskopfNikol... | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:VeitRalfR | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:ScharnowskiFr... | lld:pubmed |
| pubmed-article:17451904 | pubmed:author | pubmed-author:SitaramRangan... | lld:pubmed |
| pubmed-article:17451904 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17451904 | pubmed:volume | 25 | lld:pubmed |
| pubmed-article:17451904 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17451904 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17451904 | pubmed:pagination | 989-1003 | lld:pubmed |
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| pubmed-article:17451904 | pubmed:meshHeading | pubmed-meshheading:17451904... | lld:pubmed |
| pubmed-article:17451904 | pubmed:meshHeading | pubmed-meshheading:17451904... | lld:pubmed |
| pubmed-article:17451904 | pubmed:meshHeading | pubmed-meshheading:17451904... | lld:pubmed |
| pubmed-article:17451904 | pubmed:meshHeading | pubmed-meshheading:17451904... | lld:pubmed |
| pubmed-article:17451904 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17451904 | pubmed:articleTitle | Real-time functional magnetic resonance imaging: methods and applications. | lld:pubmed |
| pubmed-article:17451904 | pubmed:affiliation | Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, WC1N 3BG London, UK. n.weiskopf@fil.ion.ucl.ac.uk | lld:pubmed |
| pubmed-article:17451904 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17451904 | pubmed:publicationType | Review | lld:pubmed |
| pubmed-article:17451904 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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