Reliable modeling of resting-state emotional networks in major depressive disorder: Applicability of exploratory structural equation modeling to small sample sizes (bibtex)
by G. James, S. Peltier, R. Craddock, S. LaConte, H. Mayberg, X. Hu
Abstract:
Exploratory SEM evaluated the neural network mediating emotion for fMRI resting-state data with healthy (n=28) and depressed (n=5) samples. Jackknife and split-sample reliability testing assessed SEM validity. The winning model for controls consistently beat its closest rivals despite exclusion of 1-5 subjects. This model showed moderately negative influence of thalamus upon cingulate and reciprocal feedback loops within cingulate and within prefrontal cortices. Randomly splitting the sample into halves or quarters and repeating the analysis yielded qualitatively similar models. Yet depressed and control samples differed dramatically, thus demonstrating the feasibility of exploratory SEM for detecting functional differences despite small samples.
Reference:
abstract G. James, S. Peltier, R. Craddock, S. LaConte, H. Mayberg, X. Hu. Reliable modeling of resting-state emotional networks in major depressive disorder: Applicability of exploratory structural equation modeling to small sample sizes. In Proceedings 16th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto, page 95, 2008. [bibtex]
Bibtex Entry:
@inproceedings{95,
   Author = {James, G. and Peltier, S. and Craddock, R. and LaConte, S. and Mayberg, H. and Hu, X.},
   Title ={Reliable modeling of resting-state emotional networks in major depressive disorder: Applicability of exploratory structural equation modeling to small sample sizes},
   BookTitle = {Proceedings 16th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto},
   Pages = {95},
   Abstract = {Exploratory SEM evaluated the neural network mediating emotion for fMRI resting-state data with healthy (n=28) and depressed (n=5) samples. Jackknife and split-sample reliability testing assessed SEM validity. The winning model for controls consistently beat its closest rivals despite exclusion of 1-5 subjects. This model showed moderately negative influence of thalamus upon cingulate and reciprocal feedback loops within cingulate and within prefrontal cortices. Randomly splitting the sample into halves or quarters and repeating the analysis yielded qualitatively similar models. Yet depressed and control samples differed dramatically, thus demonstrating the feasibility of exploratory SEM for detecting functional differences despite small samples.},
      Year = {2008} }
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