| Literature DB >> 29992470 |
Elveda Gozdas1,2, Nehal A Parikh3,4, Stephanie L Merhar3, Jean A Tkach2, Lili He3,5, Scott K Holland6,7.
Abstract
Very preterm infants (≤ 31 weeks gestational age) are at high risk for brain injury and delayed development. Applying functional connectivity and graph theory methods to resting state MRI data (fcMRI), we tested the hypothesis that preterm infants would demonstrate alterations in connectivity measures both globally and in specific networks related to motor, language and cognitive function, even when there is no anatomical imaging evidence of injury. Fifty-one healthy full-term controls and 24 very preterm infants without significant neonatal brain injury, were evaluated at term-equivalent age with fcMRI. Preterm subjects showed lower functional connectivity from regions associated with motor, cognitive, language and executive function, than term controls. Examining brain networks using graph theory measures of functional connectivity, very preterm infants also exhibited lower rich-club coefficient and assortativity but higher small-worldness and no significant difference in modularity when compared to term infants. The findings provide evidence that functional connectivity exhibits deficits soon after birth in very preterm infants in key brain networks responsible for motor, language and executive functions, even in the absence of anatomical lesions. These functional network measures could serve as prognostic biomarkers for later developmental disabilities and guide decisions about early interventions.Entities:
Keywords: Brain; Connectivity; Imaging; Neonatal; Premature infant; fMRI
Mesh:
Year: 2018 PMID: 29992470 PMCID: PMC6892636 DOI: 10.1007/s00429-018-1707-0
Source DB: PubMed Journal: Brain Struct Funct ISSN: 1863-2653 Impact factor: 3.270