Szameitat, AJ; Raabe, M; Muller, HJ; Greenlee, MW; Mourao-Miranda, J; NCP Students,; (2010) Motor imagery of voluntary coughing: a functional MRI study using a support vector machine. NEUROREPORT , 21 (15) 980 - 984. 10.1097/WNR.0b013e32833e926f.
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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. NeuroReport 21:980-984 (C) 2010 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.
|Title:||Motor imagery of voluntary coughing: a functional MRI study using a support vector machine|
|Keywords:||coughing, functional magnetic resonance imaging, human, motor imagery, motor performance, multivariate classification, respiration, support vector machine, TIME-SERIES, FMRI, ACTIVATION, MOVEMENTS, BRAIN|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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