Localizing and comparing weight maps generated from linear kernel machine learning models

Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013

Volumn , Issue , 2013, Pages 124-127

  Schrouff, J ^a   Cremers, J ^a   Garraux, G ^a   Baldassarre, L ^b   Mourao Miranda, J ^c   Phillips, C ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b EPFL   (Switzerland)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

fMRI; machine learning; pattern comparison; pattern localization; ranking

Indexed keywords

FMRI; LINEAR KERNEL; LOCALIZED PATTERNS; MACHINE LEARNING MODELS; PATTERN COMPARISON; PATTERN LOCALIZATION; QUANTITATIVE COMPARISON; RANKING;

FORECASTING; LEARNING SYSTEMS; NEUROIMAGING; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

MAPS;

EID: 84885212810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2013.40     Document Type: Conference Paper

References (17)

1. F. Pereira, T. Mitchell, and M. Botvinick, "Machine learning classifiers and fmri: a tutorial overview. " Neuroimage, vol. 45, pp. S199-S209, 2009
2. K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, Statistical Parametric Mapping: the analysis of functional brain images, K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, Eds. London: Elsevier Academic Press, 2007
3. D. D. Cox and R. L. Savoy, "Functional magnetic resonance imaging (fMRI) 'brain reading': detecting and classifying distributed patterns of fMRI activity in human visual cortex," Neuroimage, vol. 19, pp. 261-270, 2003
4. S. Kloppel, C. M. Stonnington, C. Chu, B. Draganski, R. I. Scahill, J. D. Rohrer, N. C. Fox, C. R. Jack, J. Ashburner, and R. S. J. Frackowiak, "Automatic classification of MR scans in Alzheimer's disease. " Brain, vol. 131, pp. 681-689, 2008
5. C. Phillips, M.-A. Bruno, P. Maquet, M. Boly, Q. Noirhomme, C. Schnakers, A. Vanhaudenhuyse, M. Bonjean, R. Hustinx, G. Moonen, A. Luxen, and S. Laureys, "'Relevance vector machine' consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients," Neuroimage, vol. 56, pp. 797-808, 2011
6. N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, and M. Joliot, "Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain," NeuroImage, vol. 15, pp. 273-289, 2002
7. J. Cremers, K. D'Ostilio, J. Stamatakis, V. Delvaux, and G. Garraux, "Brain activation pattern related to gait disturbances in Parkinson's disease," Mov. Disord., vol. 27, pp. 1498-1505, 2012
8. J. Ashburner, "A fast diffeomorphic image registration algorithm," NeuroImage, vol. 38, pp. 95-113, 2007
9. J. Schrouff, M. J. Rosa, J. Rondina, A. Marquand, C. Chu, J. Ashburner, C. Phillips, J. Richiardi, and J. Mourao-Miranda, "PRoNTo: Pattern Recognition for Neuroimaging Toolbox," Neuroinformatics, pp. 1-19, 2013
10. J. Ashburner and K. Friston, "Computing average shaped tissue probability templates," NeuroImage, vol. 45, pp. 333-341, 2009
11. -, "Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation," NeuroImage, vol. 55, pp. 954-967, 2011
12. C. Burges, "A tutorial on support vector machines for pattern recognition. " Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998
13. M. E. Tipping, "Sparse bayesian learning and the relevance vector machine," Journal of Machine Learning Research, vol. 1, pp. 211-244, 2001
14. J. A. Maldjian, P. J. Laurienti, J. B. Burdette, and R. A. Kraft, "An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. " NeuroImage, vol. 19, pp. 1233-1239, 2003
15. R. Lempel and S. Moran, "Rank-stability and rank-similarity of linkbased web ranking algorithms in authority-connected graphs," Information Retrieval, vol. 8, pp. 245-264, 2005
16. N. Kriegeskorte, R. Goebel, and P. Bandettini, "Information-based functional brain mapping," PNAS, vol. 103, pp. 3863-3868, 2006
17. F. Biessmann, S. Dahne, F. C. Meinecke, B. Blankertz, K. Gorgen, K.-R. Muller, and S. Haufe, "On the interpretability of linear multivariate neuroimaging analyses: Filters, patterns and their relationship," in 2nd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging, 2012.