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Combining structural and functional neuroimaging data for studying brain connectivity: a review.

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This review explores how combining structural and functional brain connectivity data reveals insights into brain networks. Advanced neuroimaging and modeling enhance our understanding of brain structure-function relationships.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Cognitive functions rely on integrated large-scale brain networks.
  • Understanding these networks requires analyzing connectivity between brain areas.
  • Brain connectivity can be assessed through structural and functional measures.

Purpose of the Study:

  • To review studies integrating in vivo structural and functional brain connectivity data.
  • To explore how these integrated approaches enhance understanding of brain organization and function.
  • To identify promising future trends in brain connectivity research.

Main Methods:

  • Combining diffusion tensor imaging (structural connectivity) with voxel-wise functional neuroimaging.
  • Using covariance analysis for functional connectivity, guided by structural connectivity data.
  • Reviewing studies that pair anatomical and functional connectivity measurements.

Main Results:

  • Integrated structural and functional connectivity studies offer insights into brain structure-function relationships.
  • High-resolution neuroimaging methods are increasingly used for collecting both data types.
  • Advanced quantitative models are being developed for network integration.

Conclusions:

  • Combining structural and functional brain connectivity is crucial for understanding cognitive function.
  • Future research trends point towards high-resolution imaging and sophisticated modeling.
  • This integrated approach deepens our knowledge of the brain's complex network architecture.