Publikation: Motor imagery of voluntary coughing : a functional MRI study using a support vector machine
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Datum
2010
Autor:innen
Szameitat, André J.
Raabe, Markus
Müller, Hermann J.
Greenlee, Mark W.
Mourão-Miranda, Janaina
et al.
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Neuroreport. Lippincott Williams & Wilkins. 2010, 21(15), pp. 980-984. ISSN 0959-4965. eISSN 1473-558X. Available under: doi: 10.1097/WNR.0b013e32833e926f
Zusammenfassung
Investigating respiratory acts using motor imagery has the advantage that motion artifacts are much less likely to occur. To test whether motor imagery of voluntary coughing shows similar spatiotemporal activity patterns as compared to overt coughing, 12 participants underwent functional MRI scanning performing both tasks. We analyzed the data using a pattern classifier, that is, a support vector machine. Results showed that during imagined coughing, a number of brain areas reported previously to be involved in respiration showed more similarity in their spatiotemporal activity patterns with overt coughing than with a resting baseline. We conclude that motor imagery can be a suitable paradigm to investigate respiration, and that support vector machine analysis is potentially more sensitive and specific than a standard univariate analysis.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
Schlagwörter
Human, functional magnetic resonance imaging (fMRI), motor imagery, motor performance, coughing, respiration, multivariate classification, support vector machine
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SZAMEITAT, André J., Markus RAABE, Hermann J. MÜLLER, Mark W. GREENLEE, Janaina MOURÃO-MIRANDA, Marco F. H. SCHMIDT, 2010. Motor imagery of voluntary coughing : a functional MRI study using a support vector machine. In: Neuroreport. Lippincott Williams & Wilkins. 2010, 21(15), pp. 980-984. ISSN 0959-4965. eISSN 1473-558X. Available under: doi: 10.1097/WNR.0b013e32833e926fBibTex
@article{Szameitat2010-10-27Motor-56254,
year={2010},
doi={10.1097/WNR.0b013e32833e926f},
title={Motor imagery of voluntary coughing : a functional MRI study using a support vector machine},
number={15},
volume={21},
issn={0959-4965},
journal={Neuroreport},
pages={980--984},
author={Szameitat, André J. and Raabe, Markus and Müller, Hermann J. and Greenlee, Mark W. and Mourão-Miranda, Janaina and Schmidt, Marco F. H.}
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<dcterms:abstract xml:lang="eng">Investigating respiratory acts using motor imagery has the advantage that motion artifacts are much less likely to occur. To test whether motor imagery of voluntary coughing shows similar spatiotemporal activity patterns as compared to overt coughing, 12 participants underwent functional MRI scanning performing both tasks. We analyzed the data using a pattern classifier, that is, a support vector machine. Results showed that during imagined coughing, a number of brain areas reported previously to be involved in respiration showed more similarity in their spatiotemporal activity patterns with overt coughing than with a resting baseline. We conclude that motor imagery can be a suitable paradigm to investigate respiration, and that support vector machine analysis is potentially more sensitive and specific than a standard univariate analysis.</dcterms:abstract>
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