Functional connectomics from resting-state fMRI
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- 作者：Stephen M. Smith ; Diego Vidaurre ; Christian F. Beckmann ; Matthew F. Glasser ; Mark Jenkinson ; Karla L. Miller ; Thomas E. Nichols ; Emma C. Robinson ; Gholamreza Salimi-Khorshidi ; Mark W. Woolrich ; Deanna M. Barch ; Kamil U臒urbil ; David C. Van Essen
- 关键词：connectomics ; resting-state fMRI ; network modelling
- 刊名：Trends in Cognitive Sciences
- 出版年：December, 2013
- 年：2013
- 卷：17
- 期：12
- 页码：666-682
- 全文大小：17650 K
文摘
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.