The quantitative evaluation of functional neuroimaging experiments: mutual information learning curves

NeuroImage
Ulrik KjemsStephen C Strother

Abstract

Learning curves are presented as an unbiased means for evaluating the performance of models for neuroimaging data analysis. The learning curve measures the predictive performance in terms of the generalization or prediction error as a function of the number of independent examples (e.g., subjects) used to determine the parameters in the model. Cross-validation resampling is used to obtain unbiased estimates of a generic multivariate Gaussian classifier, for training set sizes from 2 to 16 subjects. We apply the framework to four different activation experiments, in this case [(15)O]water data sets, although the framework is equally valid for multisubject fMRI studies. We demonstrate how the prediction error can be expressed as the mutual information between the scan and the scan label, measured in units of bits. The mutual information learning curve can be used to evaluate the impact of different methodological choices, e.g., classification label schemes, preprocessing choices. Another application for the learning curve is to examine the model performance using bias/variance considerations enabling the researcher to determine if the model performance is limited by statistical bias or variance. We furthermore present the sensiti...Continue Reading

References

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Citations

Apr 30, 2011·Cerebral Cortex·Eric ZarahnJohn W Krakauer
Sep 2, 2010·Neural Computation·Tanya SchmahStephen C Strother
Feb 23, 2010·Indian Journal of Psychiatry·Ganesan Venkatasubramanian
Oct 16, 2015·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Grigori YourganovChris Rorden
Nov 30, 2006·Human Brain Mapping·Stephen M LaConteXiaoping P Hu
Jun 10, 2010·Human Brain Mapping·Babak Afshin-PourStephen C Strother
Jul 25, 2013·Human Brain Mapping·Giancarlo ValenteElia Formisano
Mar 30, 2006·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·Stephen C Strother
Oct 20, 2004·IEEE Transactions on Bio-medical Engineering·Sigurdur SigurdssonHans Christian Wulf
Jul 22, 2014·Human Brain Mapping·Yongsheng ZhangZe Wang
May 28, 2013·NeuroImage·R Cameron CraddockStephen M LaConte
Feb 13, 2013·Computational and Mathematical Methods in Medicine·Abdelhak MahmoudiAndrea Brovelli
Apr 16, 2013·NeuroImage·Gaël Varoquaux, R Cameron Craddock
Jan 24, 2007·NeuroImage·Bertrand ThirionJean-Baptiste Poline
Dec 21, 2010·NeuroImage·Peter Mondrup RasmussenLars Kai Hansen
Aug 30, 2011·NeuroImage·Nathan W ChurchillStephen C Strother
Jul 6, 2010·NeuroImage·Stephen M LaConte
Dec 17, 2008·FEMS Microbiology Reviews·Enrique BallezaJulio Collado-Vides
Sep 10, 2013·Neuroinformatics·Benson MwangiJair C Soares
May 31, 2019·Computational Intelligence and Neuroscience·Greta TuckuteLars Kai Hansen

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