Smith, Stephen M., Vidaurre, Diego, Beckmann, Christian F., Glasser, Matthew F., Jenkinson, Mark, Miller, Karla L., Nichols, Thomas E., Robinson, Emma C., Salimi-Khorshidi, Gholamreza, Woolrich, Mark W., Barch, Deanna M., Uğurbil, Kamil and Van Essen, David C. (2013) Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, Volume 17 (Number 12). pp. 666-682. doi:10.1016/j.tics.2013.09.016 ISSN 1364-6613.

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Abstract

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.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Trends in Cognitive Sciences
Publisher:	Elsevier Science
ISSN:	1364-6613
Official Date:	2013
Dates:	Date Event 2013 Published
Volume:	Volume 17
Number:	Number 12
Page Range:	pp. 666-682
DOI:	10.1016/j.tics.2013.09.016
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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