Journal
NEUROSCIENTIST
Volume 26, Issue 2, Pages 117-133Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1073858419860115
Keywords
connectomics; fMRI; functional magnetic resonance imaging; segregation; integration; predictive modeling
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Functional magnetic resonance imaging has proved to be a powerful tool to characterize spatiotemporal patterns of human brain activity. Analysis methods broadly fall into two camps: those summarizing properties of a region and those measuring interactions among regions. Here we pose an unappreciated question in the field: What are the strengths and limitations of each approach to study fundamental neural processes? We explore the relative utility of region- and connection-based measures in the context of three topics of interest: neurobiological relevance, brain-behavior relationships, and individual differences in brain organization. In each section, we offer illustrative examples. We hope that this discussion offers a novel and useful framework to support efforts to better understand the macroscale functional organization of the brain and how it relates to behavior.
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