Functional connectomics from resting-state fMRI

S.M. Smith; D. Vidaurre; Christian Beckmann; M. Jenkinson; T.E. Nichols; E.C. Robinson; Mark W. Woolrich; D.M. Barch

doi:10.1016/j.tics.2013.09.016

Functional connectomics from resting-state fMRI

S.M. Smith, D. Vidaurre, Christian Beckmann, M. Jenkinson, T.E. Nichols, E.C. Robinson, Mark W. Woolrich, D.M. Barch

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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. © 2013 Elsevier Ltd.

Original language	Undefined
Pages (from-to)	666-682
Journal	Trends in cognitive sciences
Volume	17
Issue number	12
DOIs	https://doi.org/10.1016/j.tics.2013.09.016
Publication status	Published - 2013

Keywords

METIS-301609
IR-89671

Access to Document

10.1016/j.tics.2013.09.016

Cite this

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AU - Smith, S.M.

AU - Vidaurre, D.

AU - Beckmann, Christian

AU - Jenkinson, M.

AU - Nichols, T.E.

AU - Robinson, E.C.

AU - Woolrich, Mark W.

AU - Barch, D.M.

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