The first two authors contributed equally to this work.
Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease
Article first published online: 13 APR 2014
© 2014 International Parkinson and Movement Disorder Society
Volume 29, Issue 9, pages 1216–1219, August 2014
How to Cite
Cherubini, A., Nisticó, R., Novellino, F., Salsone, M., Nigro, S., Donzuso, G. and Quattrone, A. (2014), Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease. Mov. Disord., 29: 1216–1219. doi: 10.1002/mds.25869
Relevant conflicts of interest/financial disclosures: Nothing to report.
Full financial disclosures and author roles may be found in the online version of this article.
- Issue published online: 18 AUG 2014
- Article first published online: 13 APR 2014
- Manuscript Accepted: 17 FEB 2014
- Manuscript Revised: 31 JAN 2014
- Manuscript Received: 31 JUL 2013
- resting tremor;
- magnetic resonance imaging;
- support vector machine;
- computer-aided diagnosis
The aim of the current study was to distinguish patients who had tremor-dominant Parkinson's disease (tPD) from those who had essential tremor with rest tremor (rET).
We combined voxel-based morphometry-derived gray matter and white matter volumes and diffusion tensor imaging-derived mean diffusivity and fractional anisotropy in a support vector machine (SVM) to evaluate 15 patients with rET and 15 patients with tPD. Dopamine transporter single-photon emission computed tomography imaging was used as ground truth.
SVM classification of individual patients showed that no single predictor was able to fully discriminate patients with tPD from those with rET. By contrast, when all predictors were combined in a multi-modal algorithm, SVM distinguished patients with rET from those with tPD with an accuracy of 100%.
SVM is an operator-independent and automatic technique that may help distinguish patients with tPD from those with rET at the individual level. © 2014 International Parkinson and Movement Disorder Society