Using brain–computer interfaces to induce neural plasticity and restore function
Identifieur interne : 001965 ( Ncbi/Merge ); précédent : 001964; suivant : 001966Using brain–computer interfaces to induce neural plasticity and restore function
Auteurs : Moritz Grosse-Wentrup [Allemagne] ; Donatella Mattia [Italie] ; Karim Oweiss [États-Unis]Source :
- Journal of neural engineering [ 1741-2560 ] ; 2011.
Abstract
Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain–computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.
Url:
DOI: 10.1088/1741-2560/8/2/025004
PubMed: 21436534
PubMed Central: 4515347
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PMC:4515347Le document en format XML
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<series><title level="j">Journal of neural engineering</title>
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<front><div type="abstract" xml:lang="en"><p id="P2">Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain–computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.</p>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101217933</journal-id>
<journal-id journal-id-type="pubmed-jr-id">32339</journal-id>
<journal-id journal-id-type="nlm-ta">J Neural Eng</journal-id>
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<journal-title-group><journal-title>Journal of neural engineering</journal-title>
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<issn pub-type="ppub">1741-2560</issn>
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<title-group><article-title>Using brain–computer interfaces to induce neural plasticity and restore function</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Grosse-Wentrup</surname>
<given-names>Moritz</given-names>
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<contrib contrib-type="author"><name><surname>Mattia</surname>
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<contrib contrib-type="author"><name><surname>Oweiss</surname>
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<aff id="A1"><label>1</label>
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany</aff>
<aff id="A2"><label>2</label>
Clinical Neurophysiology, Neuroelectrical Imaging and BCI Laboratory, Fondazione Santa Lucia, IRCCS, Via Ardeatina 306, 00179 Rome, Italy</aff>
<aff id="A3"><label>3</label>
Department of Electrical and Computer Engineering and Neuroscience, Michigan State University, East Lansing, MI, USA</aff>
<author-notes><fn id="FN1"><p id="P1"><email>moritzgw@ieee.org</email>
, <email>d.mattia@hsantalucia.it</email>
and <email>koweiss@msu.edu</email>
</p>
</fn>
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<pub-date pub-type="nihms-submitted"><day>27</day>
<month>6</month>
<year>2015</year>
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<pub-date pub-type="epub"><day>24</day>
<month>3</month>
<year>2011</year>
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<pub-date pub-type="ppub"><month>4</month>
<year>2011</year>
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<pub-date pub-type="pmc-release"><day>26</day>
<month>7</month>
<year>2015</year>
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<volume>8</volume>
<issue>2</issue>
<fpage>025004</fpage>
<lpage>025004</lpage>
<pmc-comment>elocation-id from pubmed: 10.1088/1741-2560/8/2/025004</pmc-comment>
<permissions><copyright-statement>© 2011 IOP Publishing Ltd</copyright-statement>
<copyright-year>2011</copyright-year>
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<abstract><p id="P2">Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain–computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.</p>
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