Functional connectomics from resting-state fMRI.

نویسندگان

  • Stephen M Smith
  • Diego Vidaurre
  • Christian F Beckmann
  • Matthew F Glasser
  • Mark Jenkinson
  • Karla L Miller
  • Thomas E Nichols
  • Emma C Robinson
  • Gholamreza Salimi-Khorshidi
  • Mark W Woolrich
  • Deanna M Barch
  • Kamil Uğurbil
  • David C Van Essen
چکیده

Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable to connectomics network analysis, we discuss different approaches for estimating network structure from that data. Finally, we describe new possibilities resulting from the high-quality rfMRI data being generated by the Human Connectome Project and highlight some upcoming challenges in functional connectomics.

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عنوان ژورنال:
  • Trends in cognitive sciences

دوره 17 12  شماره 

صفحات  -

تاریخ انتشار 2013