Literature DB >> 22395719

Neuroimaging biomarkers of preterm brain injury: toward developing the preterm connectome.

Ashok Panigrahy1, Jessica L Wisnowski, Andre Furtado, Natasha Lepore, Lisa Paquette, Stefan Bluml.   

Abstract

For typically developing infants, the last trimester of fetal development extending into the first post-natal months is a period of rapid brain development. Infants who are born premature face significant risk of brain injury (e.g., intraventricular or germinal matrix hemorrhage and periventricular leukomalacia) from complications in the perinatal period and also potential long-term neurodevelopmental disabilities because these early injuries can interrupt normal brain maturation. Neuroimaging has played an important role in the diagnosis and management of the preterm infant. Both cranial US and conventional MRI techniques are useful in diagnostic and prognostic evaluation of preterm brain development and injury. Cranial US is highly sensitive for intraventricular hemorrhage (IVH) and provides prognostic information regarding cerebral palsy. Data are limited regarding the utility of MRI as a routine screening instrument for brain injury for all preterm infants. However, MRI might provide diagnostic or prognostic information regarding PVL and other types of preterm brain injury in the setting of specific clinical indications and risk factors. Further development of advanced MR techniques like volumetric MR imaging, diffusion tensor imaging, metabolic imaging (MR spectroscopy) and functional connectivity are necessary to provide additional insight into the molecular, cellular and systems processes that underlie brain development and outcome in the preterm infant. The adult concept of the "connectome" is also relevant in understanding brain networks that underlie the preterm brain. Knowledge of the preterm connectome will provide a framework for understanding preterm brain function and dysfunction, and potentially even a roadmap for brain plasticity. By combining conventional imaging techniques with more advanced techniques, neuroimaging findings will likely be used not only as diagnostic and prognostic tools, but also as biomarkers for long-term neurodevelopmental outcomes, instruments to assess the efficacy of neuroprotective agents and maneuvers in the NICU, and as screening instruments to appropriately select infants for longitudinal developmental interventions.

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Mesh:

Year:  2012        PMID: 22395719      PMCID: PMC4517479          DOI: 10.1007/s00247-011-2239-4

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  149 in total

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1.  [Acquired CNS lesions in fetal MRI].

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3.  Harmonization of Multi-Center Diffusion Tensor Tractography in Neonates with Congenital Heart Disease: Optimizing Post-Processing and Application of ComBat.

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Journal:  Neuroimage Rep       Date:  2022-06-20

4.  Function in the human connectome: task-fMRI and individual differences in behavior.

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5.  Behavioral Deficits at 18-22 Months of Age Are Associated with Early Cerebellar Injury and Cognitive and Language Performance in Children Born Extremely Preterm.

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Review 6.  Research Advances of Germinal Matrix Hemorrhage: An Update Review.

Authors:  Jinqi Luo; Yujie Luo; Hanhai Zeng; Cesar Reis; Sheng Chen
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7.  Effects of gestational age at birth on cognitive performance: a function of cognitive workload demands.

Authors:  Julia Jaekel; Nicole Baumann; Dieter Wolke
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8.  Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants.

Authors:  Juan Song; Falin Xu; Laishuan Wang; Liang Gao; Jiajia Guo; Lei Xia; Yanhua Zhang; Wenhao Zhou; Xiaoyang Wang; Changlian Zhu
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Review 9.  New means to assess neonatal inflammatory brain injury.

Authors:  Chen Jin; Irene Londono; Carina Mallard; Gregory A Lodygensky
Journal:  J Neuroinflammation       Date:  2015-09-25       Impact factor: 8.322

10.  Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age.

Authors:  Ting Guo; Julie L Winterburn; Jon Pipitone; Emma G Duerden; Min Tae M Park; Vann Chau; Kenneth J Poskitt; Ruth E Grunau; Anne Synnes; Steven P Miller; M Mallar Chakravarty
Journal:  Neuroimage Clin       Date:  2015-08-24       Impact factor: 4.881

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