fMRI pattern classification using neuroanatomically constrained boosting

NeuroImage
Manel Martínez-RamónStefan Posse

Abstract

Pattern classification in functional MRI (fMRI) is a novel methodology to automatically identify differences in distributed neural substrates resulting from cognitive tasks. Reliable pattern classification is challenging due to the high dimensionality of fMRI data, the small number of available data sets, interindividual differences, and dependence on the acquisition methodology. Thus, most previous fMRI classification methods were applied in individual subjects. In this study, we developed a novel approach to improve multiclass classification across groups of subjects, field strengths, and fMRI methods. Spatially normalized activation maps were segmented into functional areas using a neuroanatomical atlas and each map was classified separately using local classifiers. A single multiclass output was applied using a weighted aggregation of the classifier's outputs. An Adaboost technique was applied, modified to find the optimal aggregation of a set of spatially distributed classifiers. This Adaboost combined the region-specific classifiers to achieve improved classification accuracy with respect to conventional techniques. Multiclass classification accuracy was assessed in an fMRI group study with interleaved motor, visual, audi...Continue Reading

References

Apr 9, 2002·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·José L Rojo-AlvarezAntonio Artés-Rodríguez
Apr 27, 2005·Nature Neuroscience·John-Dylan Haynes, Geraint Rees
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May 24, 2005·NeuroImage·Stephen LaConteXiaoping Hu
Jun 30, 2005·Journal of Fluorescence·Ramón Martínez-Máñez, Félix Sancenón

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Citations

Jul 27, 2010·Cell Biochemistry and Biophysics·Christian HabeckUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
May 7, 2013·Biological Psychology·Sergio RuizRanganatha Sitaram
Mar 26, 2011·Neurosurgery Clinics of North America·Gary H Glover
Feb 24, 2009·Medical Image Analysis·Jong-Hwan LeeSeung-Schik Yoo
Oct 9, 2007·NeuroImage·Karl FristonJohn Ashburner
Aug 14, 2012·Human Brain Mapping·Martin WeygandtJohn-Dylan Haynes
Jun 21, 2013·IEEE Transactions on Bio-medical Engineering·Corey B Hart, William J Rose
Apr 13, 2007·IEEE Transactions on Medical Imaging·Edouard DuchesnayJean-François Mangin
Jul 4, 2012·IEEE Transactions on Medical Imaging·Jean HonorioDimitris Samaras
Feb 15, 2011·IEEE Transactions on Medical Imaging·Vincent MichelBertrand Thirion
Aug 10, 2010·NeuroImage·Ranganatha SitaramNiels Birbaumer
Nov 3, 2016·Frontiers in Aging Neuroscience·Mohit RanaNatalie C Ebner
Aug 21, 2008·Nature Reviews. Neuroscience·R Christopher deCharms
Nov 30, 2006·Human Brain Mapping·Stephen M LaConteXiaoping P Hu

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