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Predictive models ground many state-of-the-art developments in statistical brain image analysis: decoding, MVPA, searchlight, or extraction of biomarkers.
The file drawer problem and tolerance for null results
Rosenthal, R., 1979 · 1979
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Distributed and overlapping representations of faces and objects in ventral temporal cortex
Haxby, J.V., Gobbini, I.M., Furey, M.L., et al., 2001 · 2001
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No unbiased estimator of the variance of k-fold cross-validation
Bengio, Y., Grandvalet, Y., 2004 · 2004
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Is cross-validation valid for small-sample microarray classification?
Braga-Neto, U.M., Dougherty, E.R., 2004 · 2004
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Why most published research findings are false
Ioannidis, J.P., 2005 · 2005
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Ale meta-analysis: Controlling the false discovery rate and performing statistical contrasts
Laird, A.R., Fox, P.M., Price, C.J., Glahn, D.C., Uecker, A.M., Lancaster, J.L., Turkeltaub, P.E., Kochunov, P., Fox, P.T., 2005 · 2005
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Statistical comparisons of classifiers over multiple data sets
Demšar, J., 2006 · 2006
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Decoding mental states from brain activity in humans
Haynes, J.D., Rees, G., 2006 · 2006
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Information-based functional brain mapping
Kriegeskorte, N., Goebel, R., Bandettini, P., 2006 · 2006
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Beyond mind-reading: multi-voxel pattern analysis of fMRI data
Norman, K.A., Polyn, S.M., Detre, G.J., Haxby, J.V., 2006 · 2006
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Divide and conquer: a defense of functional localizers
Saxe, R., Brett, M., Kanwisher, N., 2006 · 2006
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Statistical Parametric Mapping: The Analysis of Functional Brain Images
Penny, W.D., Friston, K.J., Ashburner, J.T., Kiebel, S.J., Nichols, T.E., 2007 · 2007
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Fast reproducible identification and large-scale databasing of individual functional cognitive networks
Pinel, P., Thirion, B., Meriaux, S., Jobert, A., Serres, J., Le Bihan, D., Poline, J.B., Dehaene, S., 2007 · 2007
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Why most discovered true associations are inflated
Ioannidis, J.P., 2008 · 2008
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Identifying natural images from human brain activity
Kay, K.N., Naselaris, T., Prenger, R.J., Gallant, J.L., 2008 · 2008
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Pooling fmri data: meta-analysis, mega-analysis and multi-center studies
Costafreda, S.G., 2009 · 2009
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The elements of statistical learning
Hastie, T., Tibshirani, R., Friedman, J., 2009 · 2009
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Machine learning classifiers and fMRI: a tutorial overview
Pereira, F., Mitchell, T., Botvinick, M., 2009 · 2009
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Decoding the large-scale structure of brain function by classifying mental states across individuals
Poldrack, R.A., Halchenko, Y.O., Hanson, S.J., 2009 · 2009
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Puzzlingly high correlations in fmri studies of emotion, personality, and social cognition
Vul, E., Harris, C., Winkielman, P., Pashler, H., 2009 · 2009
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A survey of cross-validation procedures for model selection
Arlot, S., Celisse, A., 2010 · 2010
Cited alongside, same era.
Toward discovery science of human brain function
Biswal, B., Mennes, M., Zuo, X., Gohel, S., Kelly, C., Smith, S., Beckmann, C., et al., 2010 · 2010
Cited alongside, same era.
A common, high-dimensional model of the representational space in human ventral temporal cortex
Haxby, J.V., Guntupalli, J.S., Connolly, A.C., Halchenko, Y.O., Conroy, B.R., Gobbini, M.I., Hanke, M., Ramadge, P.J., 2011 · 2011
Cited alongside, same era.
Reconstructing visual experiences from brain activity evoked by natural movies
Nishimoto, S., Vu, A.T., Naselaris, T., Benjamini, Y., Yu, B., Gallant, J.L., 2011 · 2011
Cited alongside, same era.
Information mapping with pattern classifiers: a comparative study
Pereira, F., Botvinick, M., 2011 · 2011
Cited alongside, same era.
The reusable holdout: Preserving validity in adaptive data analysis
Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., Roth, A., 2015 · 2015
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Neurovault. org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain
Gorgolewski, K.J., Varoquaux, G., Rivera, G., Schwarz, Y., Ghosh, S.S., Maumet, C., Sochat, V.V., Nichols, T.E., Poldrack, R.A., Poline, J.B., et al., 2015 · 2015
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A positive-negative mode of population covariation links brain connectivity, demographics and behavior
Smith, S.M., Nichols, T.E., Vidaurre, D., Winkler, A.M., Behrens, T.E., Glasser, M.F., Ugurbil, K., Barch, D.M., Van Essen, D.C., Miller, K.L., 2015 · 2015
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From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics
Wolfers, T., Buitelaar, J.K., Beckmann, C.F., Franke, B., Marquand, A.F., 2015 · 2015
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Simmons, J.P., Nelson, L.D., Simonsohn, U., 2011 · 2011
Cited alongside, same era.
The secret lives of experiments: methods reporting in the fmri literature
Carp, J., 2012 · 2012
Cited alongside, same era.
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering
Varoquaux, G., Gramfort, A., Thirion, B., 2012 · 2012
Cited alongside, same era.
Power failure: why small sample size undermines the reliability of neuroscience
Button, K.S., Ioannidis, J.P., Mokrysz, C., Nosek, B.A., Flint, J., Robinson, E.S., Munafò, M.R., 2013 · 2013
Cited alongside, same era.
Toward open sharing of task-based fmri data: the openfmri project
Poldrack, R.A., Barch, D.M., Mitchell, J., Wager, T., Wagner, A.D., Devlin, J.T., Cumba, C., Koyejo, O., Milham, M., 2013 · 2013
Cited alongside, same era.
Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (mvpa): random permutations and cluster size control
Stelzer, J., Chen, Y., Turner, R., 2013 · 2013
Cited alongside, same era.
The wu-minn human connectome project: an overview
Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K., Consortium, W.M.H., et al., 2013 · 2013
Cited alongside, same era.
Brown, C.J., Hamarneh, G., 2016 · 2016
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Recursive nearest agglomeration (rena): fast clustering for approximation of structured signals
Hoyos-Idrobo, A., Varoquaux, G., Kahn, J., Thirion, B., 2016 · 2016
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Multimodal population brain imaging in the uk biobank prospective epidemiological study
Miller, K.L., Alfaro-Almagro, F., Bangerter, N.K., Thomas, D.L., Yacoub, E., Xu, J., Bartsch, A.J., Jbabdi, S., Sotiropoulos, S.N., Andersson, J.L., et al., 2016 · 2016
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I tried a bunch of things: the dangers of unexpected overfitting in classification
Skocik, M., Collins, J., Callahan-Flintoft, C., Bowman, H., Wyble, B., 2016 · 2016
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Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
Szucs, D., Ioannidis, J.P., 2016 · 2016
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Choosing prediction over explanation in psychology: Lessons from machine learning
Yarkoni, T., Westfall, J., 2016 · 2016
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Deriving reproducible biomarkers from multi-site resting-state data: An autism-based example
Abraham, A., Milham, M.P., Di Martino, A., Craddock, R.C., Samaras, D., Thirion, B., Varoquaux, G., 2017 · 2017
Closest in time.
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Arbabshirani, M.R., Plis, S., Sui, J., Calhoun, V.D., 2017 · 2017
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Statistical power and prediction accuracy in multisite resting-state fmri connectivity
Dansereau, C., Benhajali, Y., Risterucci, C., Pich, E.M., Orban, P., Arnold, D., Bellec, P., 2017 · 2017
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Using and understanding cross-validation strategies. perspectives on Saeb et al
Little, M.A., Varoquaux, G., Saeb, S., Lonini, L., Jayaraman, A., Mohr, D., Kording, K.P., 2017 · 2017
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Scanning the horizon: Future challenges for neuroimaging research
Poldrack, R., Baker, C.I., Durnez, J., Gorgolewski, K., Matthews, P.M., Munafo, M., Nichols, T., Poline, J.B., Vul, E., Yarkoni, T., 2017 · 2017
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The need to approximate the use-case in clinical machine learning
Saeb, S., Lonini, L., Jayaraman, A., Mohr, David andKording, K.P., 2017 · 2017
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Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Varoquaux, G., Raamana, P.R., Engemann, D.A., Hoyos-Idrobo, A., Schwartz, Y., Thirion, B., 2017 · 2017
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Building better biomarkers: brain models in translational neuroimaging
Woo, C.W., Chang, L.J., Lindquist, M.A., Wager, T.D., 2017 · 2017
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A supervised clustering approach for fmri-based inference of brain states
Michel, V., Gramfort, A., Varoquaux, G., Eger, E., Keribin, C., Thirion, B., 2012 · 2049
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