Abstract
Searchlight analysis (information mapping) with pattern classifiers is a popular method of multivariate fMRI analysis often interpreted as localizing informative voxel clusters. Applicability and utility of this method is limited, however, by its dependency on searchlight radius, the assumption that information is present at all spatial scales, and its susceptibility to overfitting. These problems are demonstrated in a dataset in which, contrary to common expectation, voxels identified as informative do not clearly contain more information than those not so identified.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Poldrack, R.A.: Region of interest analysis for fMRI. Soc. Cogn. Affect Neurosci. 2, 67–70 (2007)
Etzel, J.A., Gazzola, V., Keysers, C.: An introduction to anatomical ROI-based fMRI classification analysis. Brain Research 1282, 114–125 (2009)
Kriegeskorte, N., Goebel, R., Bandettini, P.: Information-based functional brain mapping. PNAS 103, 3863–3868 (2006)
Pereira, F., Botvinick, M.: Information mapping with pattern classifiers: A comparative study. NeuroImage 56, 476–496 (2011)
Li, S., Mayhew, S.D., Kourtzi, Z.: Learning Shapes the Representation of Behavioral Choice in the Human Brain. Neuron 62, 441–452 (2009)
Bode, S., Haynes, J.-D.: Decoding sequential stages of task preparation in the human brain. Neuroimage 45, 606–613 (2009)
Eger, E., Michel, V., Thirion, B., Amadon, A., Dehaene, S., Kleinschmidt, A.: Deciphering Cortical Number Coding from Human Brain Activity Patterns. Current Biology 19, 1608–1615 (2009)
Savine, A.C., Braver, T.S.: Motivated Cognitive Control: Reward Incentives Modulate Preparatory Neural Activity during Task-Switching. The Journal of Neuroscience 30, 10294–10305 (2010)
Wellcome Trust Centre for Neuroimaging: SPM8 (2009)
R Development Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2011)
Maldjian, J.A., Laurienti, P.J., Kraft, R.A., Burdette, J.H.: An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 19, 1233–1239 (2003)
Maldjian, J.A., Laurienti, P.J., Burdette, J.H.: Precentral gyrus discrepancy in electronic versions of the Talairach atlas. Neuroimage 21, 450–455 (2004)
Lancaster, J.L., Woldorff, M.G., Parsons, L.M., Liotti, M., Freitas, C.S., Rainey, L., Kochunov, P.V., Nickerson, D., Mikiten, S.A., Fox, P.T.: Automated Talairach Atlas labels for functional brain mapping. Human Brain Mapping 10, 120–131 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Etzel, J.A., Cole, M.W., Braver, T.S. (2012). Looking Outside the Searchlight. In: Langs, G., Rish, I., Grosse-Wentrup, M., Murphy, B. (eds) Machine Learning and Interpretation in Neuroimaging. Lecture Notes in Computer Science(), vol 7263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34713-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-34713-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34712-2
Online ISBN: 978-3-642-34713-9
eBook Packages: Computer ScienceComputer Science (R0)