Literature DB >> 29095379

Using Functional Connectivity Magnetic Resonance Imaging to Measure Brain Connectivity in Preterm Infants.

Rita Pickler1, Stephanie Sealschott, Margo Moore, Stephanie Merhar, Jean Tkach, Andrew P Salzwedel, Weili Lin, Wai Gao.   

Abstract

BACKGROUND: The use of functional connectivity magnetic resonance imaging (fcMRI) in research involving preterm infants is relatively new, and its feasibility in this population is not fully established. However, fcMRI images reveal functional neural connections that may be useful in establishing the mechanisms of neuroprotective interventions in preterm infants.
OBJECTIVE: The aim of this study was to determine the feasibility of using fcMRI to measure differences in functional neural connections in nursing intervention studies.
METHODS: A pilot study was conducted as part of a longitudinal, randomized controlled trial (RCT) testing the effect of a feeding intervention on neurodevelopmental and clinical outcomes of preterm infants randomly assigned to one of two groups: a patterned feeding experience (PFE) group and a usual feeding care (UFC) group. The fcMRIs were done at term-equivalent age. Visual, motor, and default mode networks were analyzed.
RESULTS: Seven infants were studied (four were in the PFE group, and three were in the UFC group). Participants were selected sequentially from the parent RCT. Clear images were obtained from all participants. Differences were noted among PFE and UFC infants: Infants receiving PFE were hyperconnective in the default mode (caudate, anterior cingulate cortex, and precuneus) and motor networks (middle temporal and middle occipital areas) and hypoconnective in others areas of the default mode (hippocampal and lingual regions) and motor networks (precentral and superior frontal cortices) relative to UFC infants. No differences were noted in visual networks. DISCUSSION: The feasibility of using fcMRI at term-equivalent age in preterm infants who participated in an RCT on the effect of a nursing intervention was shown. Differences in connectivity among infants by group were detected. Further research is needed to show the benefit of fcMRI in studies of preterm infants given the costs of the procedure as well as the uncertain relationship of this early outcome measure to long-term neurodevelopment.

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Year:  2017        PMID: 29095379      PMCID: PMC5776701          DOI: 10.1097/NNR.0000000000000241

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  27 in total

1.  The development of regional functional connectivity in preterm infants into early childhood.

Authors:  Wayne Lee; Benjamin R Morgan; Manohar M Shroff; John G Sled; Margot J Taylor
Journal:  Neuroradiology       Date:  2013-07-24       Impact factor: 2.804

2.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.

Authors:  Jonathan D Power; Kelly A Barnes; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2011-10-14       Impact factor: 6.556

3.  Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp.

Authors:  Jonathan D Power; Kelly Anne Barnes; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2012-03-13       Impact factor: 6.556

4.  Neurobehavioral development prior to term-age of preterm infants and acute stressful events during neonatal hospitalization.

Authors:  Daniela Moré Gorzilio; Elisa Garrido; Cláudia Maria Gaspardo; Francisco Eulogio Martinez; Maria Beatriz Martins Linhares
Journal:  Early Hum Dev       Date:  2015-09-28       Impact factor: 2.079

5.  Longitudinal analysis of neural network development in preterm infants.

Authors:  Christopher D Smyser; Terrie E Inder; Joshua S Shimony; Jason E Hill; Andrew J Degnan; Abraham Z Snyder; Jeffrey J Neil
Journal:  Cereb Cortex       Date:  2010-03-17       Impact factor: 5.357

6.  Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.

Authors:  Gang Li; Li Wang; Feng Shi; John H Gilmore; Weili Lin; Dinggang Shen
Journal:  Med Image Anal       Date:  2015-04-17       Impact factor: 8.545

7.  Prediction of the development of low birth weight preterm infants by a new neonatal medical index.

Authors:  A F Korner; D K Stevenson; H C Kraemer; D Spiker; D T Scott; J Constantinou; S Dimiceli
Journal:  J Dev Behav Pediatr       Date:  1993-04       Impact factor: 2.225

8.  Transport, monitoring, and successful brain MR imaging in unsedated neonates.

Authors:  Amit M Mathur; Jeffrey J Neil; Robert C McKinstry; Terrie E Inder
Journal:  Pediatr Radiol       Date:  2007-12-19

9.  Prediction of Feeding Performance in Preterm Infants.

Authors:  Rita H Pickler; Al M Best; Barbara A Reyna; Paul A Wetzel; Gary R Gutcher
Journal:  Newborn Infant Nurs Rev       Date:  2005-09

10.  Patterned feeding experience for preterm infants: study protocol for a randomized controlled trial.

Authors:  Rita H Pickler; Paul A Wetzel; Jareen Meinzen-Derr; Heather L Tubbs-Cooley; Margo Moore
Journal:  Trials       Date:  2015-06-04       Impact factor: 2.279

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  1 in total

1.  Effect of Tactile Experience During Preterm Infant Feeding on Clinical Outcomes.

Authors:  Rita H Pickler; Jareen Meinzen-Derr; Margo Moore; Stephanie Sealschott; Karin Tepe
Journal:  Nurs Res       Date:  2020 Sep/Oct       Impact factor: 2.381

  1 in total

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