Functional connectomics from resting-state fMRI.
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.
Oxford Centre for Functional MRI of the Brain (FMRIB), University of Oxford, Oxford, UK. Electronic address: steve@fmrib.ox.ac.uk.
Stephen M
SM
Smith
Diego
D
Vidaurre
Christian F
CF
Beckmann
Matthew F
MF
Glasser
Mark
M
Jenkinson
Karla L
KL
Miller
Thomas E
TE
Nichols
Emma C
EC
Robinson
Gholamreza
G
Salimi-Khorshidi
Mark W
MW
Woolrich
Deanna M
DM
Barch
Kamil
K
Uğurbil
David C
DC
Van Essen
D000818:Animals; D001921:Brain / Q000098:blood supply* / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D009415:Nerve Net / Q000098:blood supply / Q000502:physiology; D009434:Neural Pathways / Q000098:blood supply*; D010100:Oxygen / Q000097:blood; D012146:Rest
D010100:Oxygen
connectomics; network modelling; resting-state fMRI