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Related Experiment Video

Updated: May 17, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Brain connectivity analysis: a short survey.

E W Lang1, A M Tomé, I R Keck

  • 1CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany. elmar.lang@biologie.uni-regensburg.de

Computational Intelligence and Neuroscience
|October 26, 2012
PubMed
Summary
This summary is machine-generated.

This review covers brain connectivity research, including anatomical, functional, and effective connections. Future studies aim to link brain structure (connectome) with its function and effective connectivity.

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Network Science

Background:

  • Brain connectivity research has rapidly expanded over the last decade.
  • Functional neuroimaging has become a primary tool for studying brain networks.
  • Resting-state functional connectivity studies have identified key networks, such as the default mode network.

Purpose of the Study:

  • To review recent literature on brain connectivity.
  • To encompass all forms of connectivity: static and dynamic, anatomical, functional, and effective.
  • To highlight the role of graphical models in characterizing brain networks.

Main Methods:

  • Literature review of brain connectivity studies.
  • Analysis of functional neuroimaging data, particularly from resting-state conditions.
  • Application of graphical models for network characterization.

Main Results:

  • Increasing number of studies focus on functional and effective connectivity.
  • Identification of prominent resting-state networks.
  • Graphical models provide quantitative characterization of identified networks.

Conclusions:

  • The connectome (anatomical networks) underpins functional and effective connectivities.
  • Further research is needed to bridge the gap between anatomical connections and observed functional/effective connectivities.