Literature DB >> 2450448

MR evaluation of early myelination patterns in normal and developmentally delayed infants.

R B Dietrich1, W G Bradley, E J Zaragoza, R J Otto, R K Taira, G H Wilson, H Kangarloo.   

Abstract

This study demonstrates the ability of MR imaging to show progression of myelination in 64 infants and young children (ages 4 days to 36 months). T2-weighted spin-echo pulse sequences, frequently used for routine screening of intracranial disease, were used. Gray-white matter differentiation was seen in all patients, and changes occurring with age were documented. Three distinct patterns were seen, and age ranges were established for each pattern in developmentally normal children: (1) infantile (birth-6 months); (2) isointense (8-12 months); and (3) early adult (10 months onward). There was a statistically significant difference between the age ranges of the normal and developmentally delayed children showing all three patterns. These data should be helpful for identifying and following sequentially both infants with clinically suspected developmental delay and those with dysmyelinating or demyelinating disease.

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Mesh:

Year:  1988        PMID: 2450448     DOI: 10.2214/ajr.150.4.889

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  44 in total

1.  MR imaging assessment of myelination in the very preterm brain.

Authors:  Serena J Counsell; Elia F Maalouf; Alison M Fletcher; Philip Duggan; Malcolm Battin; Helen J Lewis; Amy H Herlihy; A David Edwards; Graeme M Bydder; Mary A Rutherford
Journal:  AJNR Am J Neuroradiol       Date:  2002-05       Impact factor: 3.825

2.  Disturbed myelination in patients with treated hyperphenylalaninaemia: evaluation with magnetic resonance imaging.

Authors:  U Bick; G Fahrendorf; A C Ludolph; P Vassallo; J Weglage; K Ullrich
Journal:  Eur J Pediatr       Date:  1991-01       Impact factor: 3.183

Review 3.  Development of structure and function in the infant brain: implications for cognition, language and social behaviour.

Authors:  Sarah J Paterson; Sabine Heim; Jennifer Thomas Friedman; Naseem Choudhury; April A Benasich
Journal:  Neurosci Biobehav Rev       Date:  2006-08-04       Impact factor: 8.989

Review 4.  Use of magnetic resonance imaging in pediatric neurologic diagnosis.

Authors:  G deVeber; D Mikulis; V Caviness
Journal:  Indian J Pediatr       Date:  1990 Jul-Aug       Impact factor: 1.967

Review 5.  Biochemical, cell biological, pathological, and therapeutic aspects of Krabbe's disease.

Authors:  Je-Seong Won; Avtar K Singh; Inderjit Singh
Journal:  J Neurosci Res       Date:  2016-11       Impact factor: 4.164

6.  Transient hyperintensity in the subthalamic nucleus and globus pallidus of newborns on T1-weighted images.

Authors:  T Taoka; N Aida; T Ochi; Y Takahashi; T Akashi; T Miyasaka; A Iwamura; M Sakamoto; K Kichikawa
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-21       Impact factor: 3.825

7.  Segmenting hippocampus from infant brains by sparse patch matching with deep-learned features.

Authors:  Yanrong Guo; Guorong Wu; Leah A Commander; Stephanie Szary; Valerie Jewells; Weili Lin; Dinggang Shent
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

Review 8.  Brain development in rodents and humans: Identifying benchmarks of maturation and vulnerability to injury across species.

Authors:  Bridgette D Semple; Klas Blomgren; Kayleen Gimlin; Donna M Ferriero; Linda J Noble-Haeusslein
Journal:  Prog Neurobiol       Date:  2013-04-11       Impact factor: 11.685

9.  A quantitative measure of myelination development in infants, using MR images.

Authors:  Dennis P Carmody; Stanley M Dunn; Akiza S Boddie-Willis; J Kevin DeMarco; Michael Lewis
Journal:  Neuroradiology       Date:  2004-09       Impact factor: 2.804

10.  Development of cerebellar connectivity in human fetal brains revealed by high angular resolution diffusion tractography.

Authors:  Emi Takahashi; Emiko Hayashi; Jeremy D Schmahmann; P Ellen Grant
Journal:  Neuroimage       Date:  2014-03-17       Impact factor: 6.556

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