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Introducing alternative-based thresholding for defining functional regions of interest in fMRI

Jasper Degryse UGent, Ruth Seurinck UGent, Joke Durnez, Javier Gonzalez-Castillo, Peter A Bandettini and Beatrijs Moerkerke UGent (2017) FRONTIERS IN NEUROSCIENCE. 11.
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
fMRI, functional ROI, localizer task, effect size, alternative distribution
journal title
FRONTIERS IN NEUROSCIENCE
editor
Amir Shmuel
volume
11
publisher
Frontiers Media SA
ISSN
1662-453X
DOI
10.3389/fnins.2017.00222
language
English
UGent publication?
yes
classification
A1
copyright statement
I don't know the status of the copyright for this publication
id
8520084
handle
http://hdl.handle.net/1854/LU-8520084
date created
2017-05-11 08:06:14
date last changed
2017-05-15 08:44:41
@article{8520084,
  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.},
  author       = {Degryse, Jasper and Seurinck, Ruth and Durnez, Joke and Gonzalez-Castillo, Javier and Bandettini, Peter A and Moerkerke, Beatrijs},
  editor       = {Shmuel, Amir},
  issn         = {1662-453X},
  journal      = {FRONTIERS IN NEUROSCIENCE},
  keyword      = {fMRI,functional ROI,localizer task,effect size,alternative distribution},
  language     = {eng},
  publisher    = {Frontiers Media SA},
  title        = {Introducing alternative-based thresholding for defining functional regions of interest in fMRI},
  url          = {http://dx.doi.org/10.3389/fnins.2017.00222},
  volume       = {11},
  year         = {2017},
}

Chicago
Degryse, Jasper, Ruth Seurinck, Joke Durnez, Javier Gonzalez-Castillo, Peter A Bandettini, and Beatrijs Moerkerke. 2017. “Introducing Alternative-based Thresholding for Defining Functional Regions of Interest in fMRI.” Ed. Amir Shmuel. Frontiers in Neuroscience 11.
APA
Degryse, J., Seurinck, R., Durnez, J., Gonzalez-Castillo, J., Bandettini, P. A., & Moerkerke, B. (2017). Introducing alternative-based thresholding for defining functional regions of interest in fMRI. (A. Shmuel, Ed.)FRONTIERS IN NEUROSCIENCE, 11.
Vancouver
1.
Degryse J, Seurinck R, Durnez J, Gonzalez-Castillo J, Bandettini PA, Moerkerke B. Introducing alternative-based thresholding for defining functional regions of interest in fMRI. Shmuel A, editor. FRONTIERS IN NEUROSCIENCE. Frontiers Media SA; 2017;11.
MLA
Degryse, Jasper, Ruth Seurinck, Joke Durnez, et al. “Introducing Alternative-based Thresholding for Defining Functional Regions of Interest in fMRI.” Ed. Amir Shmuel. FRONTIERS IN NEUROSCIENCE 11 (2017): n. pag. Print.