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Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations.

Abstract:

The purpose of neuroimaging meta-analysis is to localize the brain regions that are activated consistently in response to a certain intervention. As a commonly used technique, current coordinate-based meta-analyses (CBMA) of neuroimaging studies utilize relatively sparse information from published studies, typically only using (x,y,z) coordinates of the activation peaks. Such CBMA methods have several limitations. First, there is no way to jointly incorporate deactivation information when ava...

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Publication status:
Published

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Publisher copy:
10.1109/tmi.2011.2122341

Authors


Salimi-Khorshidi, G More by this author
Nichols, TE More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
Journal:
IEEE transactions on medical imaging
Volume:
30
Issue:
7
Pages:
1401-1416
Publication date:
2011-07-05
DOI:
EISSN:
1558-254X
ISSN:
0278-0062
URN:
uuid:59ea79f3-93ce-4b36-8a36-6e51047e1ea8
Source identifiers:
166723
Local pid:
pubs:166723

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