| Learning partially directed functional networks from meta-analysis imaging data. | |
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MedLine Citation:
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PMID: 19815079 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We propose a new exploratory method for the discovery of partially directed functional networks from fMRI meta-analysis data. The method performs structure learning of Bayesian networks in search of directed probabilistic dependencies between brain regions. Learning is based on the co-activation of brain regions observed across several independent imaging experiments. In a series of simulations, we first demonstrate the reliability of the method. We then present the application of our approach in an extensive meta-analysis including several thousand activation coordinates from more than 500 imaging studies. Results show that our method is able to automatically infer Bayesian networks that capture both directed and undirected probabilistic dependencies between a number of brain regions, including regions that are frequently observed in motor-related and cognitive control tasks. |
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Authors:
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Jane Neumann; Peter T Fox; Robert Turner; Gabriele Lohmann |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2009-10-06 |
Journal Detail:
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Title: NeuroImage Volume: 49 ISSN: 1095-9572 ISO Abbreviation: Neuroimage Publication Date: 2010 Jan |
Date Detail:
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Created Date: 2009-12-07 Completed Date: 2010-02-12 Revised Date: 2013-05-31 |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: 1372-84 Citation Subset: IM |
Affiliation:
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Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, D-04103, Leipzig, Germany. neumann@cbs.mpg.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence* Automation Bayes Theorem Brain / physiology* Cluster Analysis Computer Simulation Humans Image Processing, Computer-Assisted / methods Magnetic Resonance Imaging / methods* Meta-Analysis as Topic* Neural Pathways / physiology Probability |
| Grant Support | |
ID/Acronym/Agency:
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R01 MH074457/MH/NIMH NIH HHS; R01 MH074457-04/MH/NIMH NIH HHS; R01 MH74457/MH/NIMH NIH HHS |
| Comments/Corrections | |
Comment In:
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Neuroimage. 2011 Jul 15;57(2):323-30
[PMID:
20709178
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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