Professional Education


  • Doctor of Philosophy, Universiteit Gent (2015)
  • Master of Science, Universiteit Gent (2012)
  • Master of Science, Universiteit Gent (2009)
  • Bachelor of Science, Universiteit Gent (2007)

Stanford Advisors


All Publications


  • Scanning the horizon: towards transparent and reproducible neuroimaging research. Nature reviews. Neuroscience Poldrack, R. A., Baker, C. I., Durnez, J., Gorgolewski, K. J., Matthews, P. M., Munafò, M. R., Nichols, T. E., Poline, J., Vul, E., Yarkoni, T. 2017; 18 (2): 115-126

    Abstract

    Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions that are drawn from some human neuroimaging studies are either spurious or not generalizable. Problems such as low statistical power, flexibility in data analysis, software errors and a lack of direct replication apply to many fields, but perhaps particularly to functional MRI. Here, we discuss these problems, outline current and suggested best practices, and describe how we think the field should evolve to produce the most meaningful and reliable answers to neuroscientific questions.

    View details for DOI 10.1038/nrn.2016.167

    View details for PubMedID 28053326

  • Introducing Alternative-Based Thresholding for Defining Functional Regions of Interest in fMRI. Frontiers in neuroscience Degryse, J., Seurinck, R., Durnez, J., Gonzalez-Castillo, J., Bandettini, P. A., Moerkerke, B. 2017; 11: 222-?

    Abstract

    In fMRI research, one often aims to examine activation in specific functional regions of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on avoiding detection of false activation. Not missing true activation is however equally important in this context. In this study, we explored the potential of an alternative-based thresholding (ABT) procedure, where evidence against the null hypothesis of no effect and evidence against a prespecified alternative hypothesis is measured to control both false positives and false negatives directly. The procedure was validated in the context of localizer tasks on simulated brain images and using a real data set of 100 runs per subject. Voxels categorized as active with ABT can be confidently included in the definition of the fROI, while inactive voxels can be confidently excluded. Additionally, the ABT method complements classic null hypothesis significance testing with valuable information by making a distinction between voxels that show evidence against both the null and alternative and voxels for which the alternative hypothesis cannot be rejected despite lack of evidence against the null.

    View details for DOI 10.3389/fnins.2017.00222

    View details for PubMedID 28484367

  • Effects of thresholding on correlation-based image similarity metrics FRONTIERS IN NEUROSCIENCE Sochat, V. V., Gorgolewski, K. J., Koyejo, O., Durnez, J., Poldrack, R. A. 2015; 9

    View details for DOI 10.3389/fnins.2015.00418

    View details for Web of Science ID 000366713100001

    View details for PubMedID 26578875