The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine

Journal of Neuroscience Methods - Tập 212 - Trang 355-361 - 2013
Masaya Misaki1, Wen-Ming Luh2, Peter A. Bandettini1,2
1Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, 10 Center Dr. MSC 1148, Bethesda, MD 20892-1148, USA
2Functional MRI Facility, National Institute of Mental Health, National Institutes of Health, 10 Center Dr. MSC 1148, Bethesda, MD 20892-1148, USA

Tài liệu tham khảo

Adams, 2007, Complete pattern of ocular dominance columns in human primary visual cortex, J Neurosci, 27, 10391, 10.1523/JNEUROSCI.2923-07.2007 Bishop, 2007 Boynton, 2005, Imaging orientation selectivity: decoding conscious perception in V1, Nat Neurosci, 8, 541, 10.1038/nn0505-541 Brants, 2011, Multiple scales of organization for object selectivity in ventral visual cortex, Neuroimage, 56, 1372, 10.1016/j.neuroimage.2011.02.079 Chaimow, 2011, Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns, Neuroimage, 56, 627, 10.1016/j.neuroimage.2010.09.037 Chang, 2001 Chu C-YC. Pattern recognition and machine learning for magnetic resonance images with kernel methods. Doctoral thesis. Wellcome Trust Centre for Neuroimaging Institute of Neurology. University College London; 2009. Cox, 2003, Functional magnetic resonance imaging (fMRI) brain reading: detecting and classifying distributed patterns of fMRI activity in human visual cortex, Neuroimage, 19, 261, 10.1016/S1053-8119(03)00049-1 Cox, 1996, AFNI: software for analysis and visualization of functional magnetic resonance neuroimages, Comput Biomed Res, 29, 162, 10.1006/cbmr.1996.0014 Cristianini, 2000 de Brecht, 2012, Combining sparseness and smoothness improves classification accuracy and interpretability, Neuroimage, 60, 1550, 10.1016/j.neuroimage.2011.12.085 Demšar, 2006, Statistical comparisons of classifiers over multiple data sets, J Mach Learn Res, 7, 1 Duda, 2000 Eickhoff, 2005, A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data, Neuroimage, 25, 1325, 10.1016/j.neuroimage.2004.12.034 Etzel, 2011, The impact of certain methodological choices on multivariate analysis of fMRI data with support vector machines, Neuroimage, 54, 1159, 10.1016/j.neuroimage.2010.08.050 Freeman, 2011, Orientation decoding depends on maps, not columns, J Neurosci, 31, 4792, 10.1523/JNEUROSCI.5160-10.2011 Gardner, 2010, Is cortical vasculature functionally organized?, Neuroimage, 49, 1953, 10.1016/j.neuroimage.2009.07.004 Golland, 2003, Permutation tests for classification: towards statistical significance in image-based studies, Inf Process Med Imaging, 330 Haynes, 2005, Predicting the orientation of invisible stimuli from activity in human primary visual cortex, Nat Neurosci, 8, 686, 10.1038/nn1445 Hollander, 1999 Kamitani, 2010, Spatial smoothing hurts localization but not information: pitfalls for brain mappers, Neuroimage, 49, 1949, 10.1016/j.neuroimage.2009.06.040 Kamitani, 2005, Decoding the visual and subjective contents of the human brain, Nat Neurosci, 8, 679, 10.1038/nn1444 Kriegeskorte, 2010, How does an fMRI voxel sample the neuronal activity pattern: compact-kernel or complex spatiotemporal filter, Neuroimage, 49, 1965, 10.1016/j.neuroimage.2009.09.059 Kriegeskorte, 2006, Information-based functional brain mapping, Proc Natl Acad Sci USA, 103, 3863, 10.1073/pnas.0600244103 LaConte, 2005, Support vector machines for temporal classification of block design fMRI data, Neuroimage, 26, 317, 10.1016/j.neuroimage.2005.01.048 Ledoit, 2003, Improved estimation of the covariance matrix of stock returns with an application to portfolio selection, J Empir Finance, 10, 603, 10.1016/S0927-5398(03)00007-0 Misaki, 2010, Comparison of multivariate classifiers and response normalizations for pattern-information fMRI, Neuroimage, 53, 103, 10.1016/j.neuroimage.2010.05.051 Mitchell, 1997 Op de Beeck, 2010, Against hyperacuity in brain reading: spatial smoothing does not hurt multivariate fMRI analyses?, Neuroimage, 49, 1943, 10.1016/j.neuroimage.2009.02.047 Op de Beeck, 2010, Probing the mysterious underpinnings of multi-voxel fMRI analyses, NeuroImage, 50, 567, 10.1016/j.neuroimage.2009.12.072 R Core Team, 2012 Schafer, 2005, A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics, Stat Appl Genet Mol Biol, 4, 10.2202/1544-6115.1175 Schwarzkopf, 2010, Knowing with which eye we see: utrocular discrimination and eye-specific signals in human visual cortex, PLoS ONE, 5, e13775, 10.1371/journal.pone.0013775 Shmuel, 2010, Mechanisms underlying decoding at 7 T: ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye, Neuroimage, 49, 1957, 10.1016/j.neuroimage.2009.08.040 Swisher, 2010, Multiscale pattern analysis of orientation-selective activity in the primary visual cortex, J Neurosci, 30, 325, 10.1523/JNEUROSCI.4811-09.2010 Vapnik, 1995