Unknown

Dataset Information

Functional properties of resting state networks in healthy full-term newborns.


ABSTRACT: Objective, early, and non-invasive assessment of brain function in high-risk newborns is critical to initiate timely interventions and to minimize long-term neurodevelopmental disabilities. A prerequisite to identifying deviations from normal, however, is the availability of baseline measures of brain function derived from healthy, full-term newborns. Recent advances in functional MRI combined with graph theoretic techniques may provide important, currently unavailable, quantitative markers of normal neurodevelopment. In the current study, we describe important properties of resting state networks in 60 healthy, full-term, unsedated newborns. The neonate brain exhibited an efficient and economical small world topology: densely connected nearby regions, sparse, but well integrated, distant

SUBMITTER: De Asis-Cruz J 

PROVIDER: S-EPMC4671028 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature