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Relating connectional architecture to grey matter function using diffusion imaging.

T E J Behrens1, H Johansen-Berg

  • 1Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK. behrens@fmrib.ox.ac.uk

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 10, 2005
PubMed
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Magnetic resonance diffusion imaging offers a novel way to study brain circuitry in living people. This technique may reveal how brain connections influence function and help validate anatomical connectivity studies.

Area of Science:

  • Neuroimaging
  • Neuroscience
  • Brain Connectomics

Background:

  • Understanding brain function relies on mapping its connectional architecture.
  • Investigating in vivo brain circuitry has been limited by a lack of suitable techniques.
  • Magnetic resonance diffusion imaging provides insights into white matter architecture.

Purpose of the Study:

  • To explore the potential of diffusion imaging in identifying distinct grey matter regions based on connectional architecture.
  • To determine if these connectional differences correlate with local cytoarchitecture or grey matter function.

Main Methods:

  • Review of recent advances in magnetic resonance diffusion imaging.
  • Analysis of diffusion imaging data for local white matter architecture.

Related Experiment Videos

  • Correlation of diffusion-based regional boundaries with functional and cytoarchitectural data.
  • Main Results:

    • Diffusion imaging offers the first possibility for in vivo investigation of brain circuitry.
    • Potential to identify grey matter regions with distinct connectional architectures.
    • Possibility of linking diffusion-based boundaries to functional and cytoarchitectural borders.

    Conclusions:

    • Diffusion imaging holds promise for understanding the relationship between brain connectivity and function.
    • Establishing these relationships is crucial for interpreting functional neuroimaging results.
    • This approach is a foundational step towards validating diffusion-based anatomical connectivity studies.