Biology – Quantitative Biology – Neurons and Cognition
Scientific paper
2007-01-25
Biology
Quantitative Biology
Neurons and Cognition
10 pages, 2 figs [v2:] arXiv identifier added explicitly in header (not automatically tagged to original PDF upload)
Scientific paper
We present an approach to study functional segregation and integration in the living brain based on community structure decomposition determined by maximum modularity. We demonstrate this method with a network derived from functional imaging data with nodes defined by individual image pixels, and edges in terms of correlated signal changes. We found communities whose anatomical distributions correspond to biologically meaningful structures and include compelling functional subdivisions between anatomically equivalent brain regions.
Bifone Angelo
Gozzi Alessandro
Schwarz Adam J.
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