Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns

NeuroImage
Okito YamashitaYukiyasu Kamitani

Abstract

Recent studies have used pattern classification algorithms to predict or decode task parameters from individual fMRI activity patterns. For fMRI decoding, it is important to choose an appropriate set of voxels (or features) as inputs to the decoder, since the presence of many irrelevant voxels could lead to poor generalization performance, a problem known as overfitting. Although individual voxels could be chosen based on univariate statistics, the resulting set of voxels could be suboptimal if correlations among voxels carry important information. Here, we propose a novel linear classification algorithm, called sparse logistic regression (SLR), that automatically selects relevant voxels while estimating their weight parameters for classification. Using simulation data, we confirmed that SLR can automatically remove irrelevant voxels and thereby attain higher classification performance than other methods in the presence of many irrelevant voxels. SLR also proved effective with real fMRI data obtained from two visual experiments, successfully identifying voxels in corresponding locations of visual cortex. SLR-selected voxels often led to better performance than those selected based on univariate statistics, by exploiting correla...Continue Reading

References

Jun 16, 1994·Nature·S A EngelM N Shadlen
Jan 5, 2002·NeuroImage·K J WorsleyA C Evans
Jun 6, 2002·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Jonathan R WolpawTheresa M Vaughan
Sep 11, 2003·Journal of Cognitive Neuroscience·Thomas A CarlsonSheng He
Jan 27, 2004·NeuroImage·Joseph A MaldjianJonathan H Burdette
Jun 11, 2004·IEEE Transactions on Bio-medical Engineering·Thomas Navin LalBernhard Schölkopf
Apr 15, 2005·Journal of Cognitive Neuroscience·Alice J O'TooleJames V Haxby
Apr 27, 2005·Nature Neuroscience·Yukiyasu Kamitani, Frank Tong
May 24, 2005·NeuroImage·Stephen LaConteXiaoping Hu
Jun 10, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Balaji KrishnapuramAlexander J Hartemink
Mar 16, 2006·Proceedings of the National Academy of Sciences of the United States of America·Nikolaus KriegeskortePeter Bandettini
Jun 7, 2006·Current Biology : CB·Yukiyasu Kamitani, Frank Tong
Jun 9, 2006·Nature Reviews. Neuroscience·Bruno B AverbeckAlexandre Pouget
Jun 23, 2006·Nature Reviews. Neuroscience·John-Dylan Haynes, Geraint Rees
Aug 11, 2006·Trends in Cognitive Sciences·Kenneth A NormanJames V Haxby
Dec 27, 2006·Nature Neuroscience·Chris I BakerNancy Kanwisher
Feb 13, 2007·Current Biology : CB·John-Dylan HaynesRichard E Passingham
Jan 1, 1996·IEEE Transactions on Neural Networks·G Erten, R M Goodman

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Citations

Nov 13, 2009·Neuroreport·Hiromi YamamuraYukiyasu Kamitani
Sep 2, 2010·Neural Computation·Tanya SchmahStephen C Strother
Jan 24, 2013·Neural Computation·Yusuke FujiwaraYukiyasu Kamitani
Jan 10, 2013·Psychological Science·Tobias BroschElizabeth A Phelps
Dec 17, 2011·PloS One·Marzia De LuciaSophie Schwartz
Dec 11, 2013·PloS One·Yasuhito SawahataNobuyuki Hiruma
Jun 25, 2013·Brain Imaging and Behavior·Mo ChenTianming Liu
Feb 22, 2014·Medical Image Analysis·Emilio Parrado-HernándezCarles Soriano-Mas
Jul 9, 2014·Annual Review of Neuroscience·James V HaxbyJ Swaroop Guntupalli
Sep 29, 2011·Annual Review of Psychology·Frank Tong, Michael S Pratte
Jan 16, 2015·Journal of the Royal Society, Interface·Jun Morimoto, Mitsuo Kawato
Sep 5, 2015·Disability and Rehabilitation. Assistive Technology·Maria MartinsAnselmo Frizera
Apr 7, 2015·NeuroImage·Kentaro YamadaYukiyasu Kamitani
Jun 15, 2011·Current Opinion in Neurobiology·Mitsuo KawatoNicolas Schweighofer
Feb 1, 2011·Neural Networks : the Official Journal of the International Neural Network Society·Akihiro FunamizuHirokazu Takahashi
Jan 26, 2010·Magnetic Resonance Imaging·Ludmila I Kuncheva, Juan J Rodríguez
Aug 15, 2015·NeuroImage·Melanie GanzUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jun 7, 2013·Annals of the New York Academy of Sciences·Tyler Davis, Russell A Poldrack
Jul 14, 2011·The European Journal of Neuroscience·Gavin PerryGareth R Barnes
Dec 10, 2009·Human Brain Mapping·Keith Kawabata DuncanGareth Barnes
Apr 4, 2015·IEEE Transactions on Medical Imaging·Shijie ZhaoTianming Liu
Sep 18, 2013·IEEE Transactions on Medical Imaging·Jane RondinaJanaina Mourao-Miranda
Feb 5, 2010·IEEE Transactions on Medical Imaging·Ludmila I KunchevaStephen J Johnston
Sep 26, 2012·IEEE Transactions on Medical Imaging·Mert R SabuncuUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Feb 15, 2011·IEEE Transactions on Medical Imaging·Vincent MichelBertrand Thirion
Feb 18, 2011·IEEE Transactions on Medical Imaging·Robert Leech, Dennis Leech
Jul 23, 2013·NeuroImage·Jukka-Pekka KauppiAapo Hyvärinen
Aug 10, 2013·NeuroImage·M E van de NieuwenhuijzenM A J van Gerven
Jan 1, 2011·Developmental Cognitive Neuroscience·Judit GervainRichard N Aslin
Sep 4, 2013·Journal of Neuroscience Methods·Sutao SongJiacai Zhang
Sep 12, 2012·Neuropsychologia·Youyang Hou, Taosheng Liu

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