Journal
TRENDS IN COGNITIVE SCIENCES
Volume 17, Issue 12, Pages 666-682Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2013.09.016
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Funding
- NIH Blueprint for Neuroscience Research [1U54MH091657-01]
- NIH [P30-NS057091, P41-RR08079/EB015894, F30-MH097312]
- Wellcome Trust [098369/Z/12/Z]
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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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