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Functional Network Observations of Diseased Brain States

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Encyclopedia of Computational Neuroscience

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Definition

A functional network represents the measured associations between activities recorded from separate brain regions. Many diseases may alter, or be caused by, changes in brain functional connectivity.

Detailed Description

An increasingly popular approach in computational neuroscience has been to conceptualize neural networks as mathematical graphs (i.e., collections of nodes and edges) with nodes representing spatially localized brain regions. Such networks typically fall into two categories: structural networks, in which an edge corresponds to a well-defined anatomical feature, such as a synapse or axon bundle, and functional networks, in which an edge corresponds to a statistical association between measured signals recorded at each node. Functional and structural networks are interdependent – functional networks represent dynamically active subsets evolving on an underlying structural network. Experimental and simulated lesions (i.e., node removals) demonstrate that...

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References

  • Bianchi M, Cash S, Caviness V (eds) (2010) Network approaches to diseases of the brain. Bentham Science Publishers, Sharjah

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  • Kolaczyk E (2009) Statistical analysis of network data. Springer, New York

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  • Watts D (2004) Six degrees: the science of a connected age. W. W. Norton, New York

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Further Reading

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge

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Author information

Authors and Affiliations

  1. Graduate Program for Neuroscience, Boston University, Boston, MA, USA

    Grant M. Fiddyment

  2. Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA

    Stefania Sokolowski

  3. Department of Mathematics and Statistics, Boston University, Boston, MA, USA

    Mark Kramer

Authors
  1. Grant M. Fiddyment
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  2. Stefania Sokolowski
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  3. Mark Kramer
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Corresponding author

Correspondence to Grant M. Fiddyment .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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© 2014 Springer Science+Business Media New York

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Fiddyment, G.M., Sokolowski, S., Kramer, M. (2014). Functional Network Observations of Diseased Brain States. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_440-2

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_440-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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