4.7 Article

Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI

期刊

NEUROIMAGE
卷 111, 期 -, 页码 580-589

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.02.010

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资金

  1. Department of Health's NIHR Biomedical Research Centre funding scheme at UCLH/UCL
  2. EU-FP7 project VPH-DARE@IT [FP7-ICT-2011-9- 601055]
  3. EPSRC [EP/J020990/1, EP/H046410/1] Funding Source: UKRI
  4. MRC [MR/J01107X/1] Funding Source: UKRI
  5. Engineering and Physical Sciences Research Council [1215537, EP/H046410/1, EP/J020990/1] Funding Source: researchfish
  6. Medical Research Council [MR/J01107X/1] Funding Source: researchfish
  7. National Institute for Health Research [NF-SI-0512-10034] Funding Source: researchfish
  8. Sparks Charity [09UCL04] Funding Source: researchfish

向作者/读者索取更多资源

Preterm birth is a major public health concern, with the severity and occurrence of adverse outcome increasing with earlier delivery. Being born preterm disrupts a time of rapid brain development: in addition to volumetric growth, the cortex folds, myelination is occurring and there are changes on the cellular level. These neurological events have been imaged non-invasively using diffusion-weighted (DW) MRI. In this population, there has been a focus on examining diffusion in the white matter, but the greymatter is also critically important for neurological health. We acquired multi-shell high-resolution diffusion data on 12 infants born at <= 28 weeks of gestational age at two time-points: once when stable after birth, and again at term-equivalent age. We used the Neurite Orientation Dispersion and Density Imaging model (NODDI) (Zhang et al., 2012) to analyse the changes in the cerebral cortex and the thalamus, both greymatter regions. We showed region-dependent changes in NODDI parameters over the preterm period, highlighting underlying changes specific to the microstructure. This work is the first time that NODDI parameters have been evaluated in both the cortical and the thalamic greymatter as a function of age in preterm infants, offering a unique insight into neuro-development in this at-risk population. (C) 2015 The Authors. Published by Elsevier Inc.

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