
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.
network modelling, METIS-301609, Rest, 220 Statistical Imaging Neuroscience, Brain, Connectomics, IR-89671, Magnetic Resonance Imaging, Oxygen, Neural Pathways, Image Processing, Computer-Assisted, Animals, Humans, Nerve Net, resting-state fMRI
network modelling, METIS-301609, Rest, 220 Statistical Imaging Neuroscience, Brain, Connectomics, IR-89671, Magnetic Resonance Imaging, Oxygen, Neural Pathways, Image Processing, Computer-Assisted, Animals, Humans, Nerve Net, resting-state fMRI
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