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Clinical Applications of Resting State Functional Connectivity

During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identifi...

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Detalles Bibliográficos
Autores principales: Fox, Michael D., Greicius, Michael
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893721/
https://www.ncbi.nlm.nih.gov/pubmed/20592951
http://dx.doi.org/10.3389/fnsys.2010.00019
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author Fox, Michael D.
Greicius, Michael
author_facet Fox, Michael D.
Greicius, Michael
author_sort Fox, Michael D.
collection PubMed
description During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identification of correlation patterns in these spontaneous fluctuations has been termed resting state functional connectivity (fcMRI) and has the potential to greatly increase the translation of fMRI into clinical care. In this article we review the advantages of the resting state signal for clinical applications including detailed discussion of signal to noise considerations. We include guidelines for performing resting state research on clinical populations, outline the different areas for clinical application, and identify important barriers to be addressed to facilitate the translation of resting state fcMRI into the clinical realm.
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spelling pubmed-28937212010-06-30 Clinical Applications of Resting State Functional Connectivity Fox, Michael D. Greicius, Michael Front Syst Neurosci Neuroscience During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identification of correlation patterns in these spontaneous fluctuations has been termed resting state functional connectivity (fcMRI) and has the potential to greatly increase the translation of fMRI into clinical care. In this article we review the advantages of the resting state signal for clinical applications including detailed discussion of signal to noise considerations. We include guidelines for performing resting state research on clinical populations, outline the different areas for clinical application, and identify important barriers to be addressed to facilitate the translation of resting state fcMRI into the clinical realm. Frontiers Research Foundation 2010-06-17 /pmc/articles/PMC2893721/ /pubmed/20592951 http://dx.doi.org/10.3389/fnsys.2010.00019 Text en Copyright © 2010 Fox and Greicius. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Fox, Michael D.
Greicius, Michael
Clinical Applications of Resting State Functional Connectivity
title Clinical Applications of Resting State Functional Connectivity
title_full Clinical Applications of Resting State Functional Connectivity
title_fullStr Clinical Applications of Resting State Functional Connectivity
title_full_unstemmed Clinical Applications of Resting State Functional Connectivity
title_short Clinical Applications of Resting State Functional Connectivity
title_sort clinical applications of resting state functional connectivity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893721/
https://www.ncbi.nlm.nih.gov/pubmed/20592951
http://dx.doi.org/10.3389/fnsys.2010.00019
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