a theoretical investigation of the relationship between structural equation modeling and partial correlation in functional mri effective connectivity

Clicks: 200
ID: 220748
2009
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Ranked #32 of 77 articles by views in Organic Chemistry Frontiers

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Abstract
An important field of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is the investigation of effective connectivity, that is, the actions that a given set of regions exert on one another. We recently proposed a data-driven method based on the partial correlation matrix that could provide some insight regarding the pattern of functional interaction between brain regions as represented by structural equation modeling (SEM). So far, the efficiency of this approach was mostly based on empirical evidence. In this paper, we provide theoretical fundaments explaining why and in what measure structural equation modeling and partial correlations are related. This gives better insight regarding what parts of SEM can be retrieved by partial correlation analysis and what remains inaccessible. We illustrate the different results with real data.
Reference Key
marrelec2009computationala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Guillaume Marrelec;Habib Benali
Journal Organic Chemistry Frontiers
Year 2009
DOI
10.1155/2009/369341
URL
http://dx.doi.org/10.1155/2009/369341
Keywords
computer applications to medicine medical informaticsneurosciences neuropsychiatry biological psychiatry

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