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Maximized likelihood ratio tests for functional localization in fMRI

Jasper Degryse UGent, Ruth Seurinck UGent and Beatrijs Moerkerke UGent (2017)
abstract
fMRI localizer tasks are often used to define subject specific functional regions of interest (fROIs) that contain the relevant features for subsequent analyses. fROIs are typically small and show large interindividual differences in extent and effect size. As statistical testing procedures focus on con- trolling false positives, this may lead to an ad-hoc adjustment of thresholding in some individuals. The promising likelihood ratio (LR) testing approach for fMRI (Kang et al. 2015) provides simultaneous control of both false positives and negatives by contrasting evidence in favor of true activation against evidence in favor of the null hypothesis. The authors propose to estimate the expected alternative by a percentile (e.g. 95th) across the voxels of an effect size map. However, in the context of fROIs, pre-defined observed percentiles may induce inconsistent activation across subjects. In this study we show the potential of a maximized LR approach (Bickel, 2012) for this particular application. The maximum LR is calculated over the same interval of functionally relevant alternatives for all subjects, enabling consistent localization of the fROIs in both subjects with low levels and high levels of general activity.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (poster)
publication status
published
keyword
fROI, effect size, alternative hypothesis, likelihood ratio
conference name
6th Channel Network Conference
conference location
Hasselt, Belgium
conference start
2017-04-24
conference end
2017-04-26
UGent publication?
yes
classification
C3
copyright statement
I don't know the status of the copyright for this publication
id
8520101
handle
http://hdl.handle.net/1854/LU-8520101
date created
2017-05-11 08:42:22
date last changed
2017-05-15 08:40:57
@inproceedings{8520101,
  abstract     = {fMRI localizer tasks are often used to define subject specific functional regions of interest (fROIs) that contain the relevant features for subsequent analyses. fROIs are typically small and show large interindividual differences in extent and effect size. As statistical testing procedures focus on con- trolling false positives, this may lead to an ad-hoc adjustment of thresholding in some individuals. The promising likelihood ratio (LR) testing approach for fMRI (Kang et al. 2015) provides simultaneous control of both false positives and negatives by contrasting evidence in favor of true activation against evidence in favor of the null hypothesis. The authors propose to estimate the expected alternative by a percentile (e.g. 95th) across the voxels of an effect size map. However, in the context of fROIs, pre-defined observed percentiles may induce inconsistent activation across subjects.
In this study we show the potential of a maximized LR approach (Bickel, 2012) for this particular application. The maximum LR is calculated over the same interval of functionally relevant alternatives for all subjects, enabling consistent localization of the fROIs in both subjects with low levels and high levels of general activity.},
  author       = {Degryse, Jasper and Seurinck, Ruth and Moerkerke, Beatrijs},
  keyword      = {fROI,effect size,alternative hypothesis,likelihood ratio},
  location     = {Hasselt, Belgium},
  title        = {Maximized likelihood ratio tests for functional localization in fMRI},
  year         = {2017},
}

Chicago
Degryse, Jasper, Ruth Seurinck, and Beatrijs Moerkerke. 2017. “Maximized Likelihood Ratio Tests for Functional Localization in fMRI.” In .
APA
Degryse, J., Seurinck, R., & Moerkerke, B. (2017). Maximized likelihood ratio tests for functional localization in fMRI. Presented at the 6th Channel Network Conference.
Vancouver
1.
Degryse J, Seurinck R, Moerkerke B. Maximized likelihood ratio tests for functional localization in fMRI. 2017.
MLA
Degryse, Jasper, Ruth Seurinck, and Beatrijs Moerkerke. “Maximized Likelihood Ratio Tests for Functional Localization in fMRI.” 2017. Print.