Sporns2004oda Olaf Review

Organization, development and function of complex brain networks

<bibtex> @article{sporns2004oda,

 title=Template:Organization, development and function of complex brain networks,
 author={Sporns, O. and Chialvo, D.R. and Kaiser, M. and Hilgetag, C.C.},
 journal={Trends in Cognitive Sciences},
 volume={8},
 number={9},
 pages={418--425},
 year={2004},
 publisher={Elsevier}

} </bibtex>

This review is pretty high level, excellent as a map to the broader literature of network neuroscience.

It cites rat, cat and monkey connectome data sets

Quotes

• "In general, the 'connectional fingerprint' of a cortical area can serve as an indicator of its functional contribution to the overall system " (citing Passingham 2002)
• "Using correltation to derive functional brain networks from fMRI datasets has several known limitation. Transitivity in correlations could contribute to an artifactual increase in the clustering coefficient, suggesting the use of more stringent correlation measures such as partial directed coherence (citation). The use of PDC or other measures of causality might allow the extraction and analysis of effective networks associated with human cognitive function"
• "These patterns exhibit characteristic features of segregagation and integration, which can quantitatively be captured using multi-variate and hierarchical information-theoretical measures (Tononi, Sporns Trends Cog Sci 1998)(Sporns et al 2000 Cereb Cortex)(Sporns, Tononi 2002 Complexity)"
• "These computational studies suggest the hypothesis that only specific classes of connectivity patterns (structurally similar to cortical netwoorks) support short wiring, small-world attributes, clustered architectures, high complexity, and possibly metastable dynamical states (Bressler and Kelso 2001), and an abundance of dynamical transients (Friston 2000 labile brain)."
  • crazy sentence
• Mention of Structural Equation Modeling (SEM) and Dynamic Causal Modeling (DCM)