<p>Solving the problem of overfitting in neuroimaging? Cross-validated Bayesian model selection for methodological control in fMRI data analysis</p>

Joram Soch; Carsten Allefeld; John-Dylan Haynes

doi:10.7490/f1000research.1000161.1

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Soch J, Allefeld C and Haynes JD. Solving the problem of overfitting in neuroimaging? Cross-validated Bayesian model selection for methodological control in fMRI data analysis [version 1; not peer reviewed]. F1000Research 2015, 4:184 (poster) (https://doi.org/10.7490/f1000research.1000161.1)

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Solving the problem of overfitting in neuroimaging? Cross-validated Bayesian model selection for methodological control in fMRI data analysis

Joram Soch¹, Carsten Allefeld, John-Dylan Haynes

Published 06 Jul 2015 (https://doi.org/10.7490/f1000research.1000161.1)

Author Affiliations

¹ Theory and Analysis of Large-Scale Brain Signals, Bernstein Center for Computational Neuroscience, Berlin, Germany

Copyright © 2015 Soch J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 06 Jul 2015

Solving the problem of overfitting in neuroimaging? Cross-validated Bayesian model selection for methodological control in fMRI data analysis
[version 1; not peer reviewed]

Joram Soch¹, Carsten Allefeld, John-Dylan Haynes

Author Affiliations

¹ Theory and Analysis of Large-Scale Brain Signals, Bernstein Center for Computational Neuroscience, Berlin, Germany

Presented at

21st Annual Meeting of the Organization for Human Brain Mapping (OHBM) 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

underfitting, overfitting, model selection, cross-validation, Bayesian model selection, fMRI data analysis, reliability, reproducibility, model quality, data analysis, false positives, false negatives

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22 Aug 2017

This work has been published as a paper in NeuroImage:
- DOI: 10.1016/j.neuroimage.2016.07.047
- URL: http://www.sciencedirect.com/science/article/pii/S1053811916303615

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