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Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

Abstract:

Given the increasing number of neuroimaging publications, the automated knowledge extraction on brain-behavior associations by quantitative meta-analyses has become a highly important and rapidly growing field of research. Among several methods to perform coordinate-based neuroimaging meta-analyses, Activation Likelihood Estimation (ALE) has been widely adopted. In this paper, we addressed two pressing questions related to ALE meta-analysis: i) Which thresholding method is most appropriate to...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1016/j.neuroimage.2016.04.072

Authors


Eickhoff, SB More by this author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
Subgroup:
Clinical Trial Service Unit
ORCID:
0000-0002-4516-5103
More by this author
ORCID:
0000-0001-7163-3110
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Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” More from this funder
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
137
Pages:
70-85
Publication date:
2016-05-11
Acceptance date:
2016-04-01
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pubs id:
pubs:908848
URN:
uri:80564669-2478-4132-9b2b-acb03edf853c
UUID:
uuid:80564669-2478-4132-9b2b-acb03edf853c
Local pid:
pubs:908848

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