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  Exploring functional relations between brain regions from fMRI meta-analysis data: Comments on Ramsey, Spirtes, and Glymour

Neumann, J., Turner, R., Fox, P. T., & Lohmann, G. (2011). Exploring functional relations between brain regions from fMRI meta-analysis data: Comments on Ramsey, Spirtes, and Glymour. NeuroImage, 57(2), 331-333. doi:10.1016/j.neuroimage.2010.11.012.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-1720-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-B353-6
Genre: Journal Article

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 Creators:
Neumann, Jane1, 2, Author              
Turner, Robert1, Author              
Fox, Peter T.3, Author
Lohmann, Gabriele1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Leipzig University Medical Center, IFB Adipositas Diseases, Leipzig, Germany, ou_persistent22              
3Research Imaging Center, University of Texas Health Science Center, San Antonio, TX, USA, ou_persistent22              

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 Abstract: In this paper, we address the critical assessment of Ramsey et al. of our method for learning partially directed graphs from meta-analysis imaging data (Neumann et al., 2010). We argue that our method provides valid and interpretable results when applied to data representing a single experimental paradigm. Simulations further suggest that, despite theoretical limitations, the application of our method to mixed probability distributions yields reliable results with error rates at acceptable levels. Finally, we discuss the nature of meta-analysis data and the notion of causality in the context of functional neuroimaging.

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Language(s): eng - English
 Dates: 2010-10-222010-09-092010-11-012010-11-122011-07-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.neuroimage.2010.11.012
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 57 (2) Sequence Number: - Start / End Page: 331 - 333 Identifier: ISSN: 1053-8119
CoNE: /journals/resource/954922650166