Preterm Children Have Disturbances of White Matter at 11 Years of Age as Shown by Diffusion Tensor Imaging

Preterm birth frequently involves white matter injury and affects long-term neurologic and cognitive outcomes. Diffusion tensor imaging has been used to show that the white matter microstructure of newborn, preterm children is compromised in a regionally specific manner. However, until now it was not clear whether these lesions would persist and be detectible on long-term follow-up. Hence, we collected diffusion tensor imaging data on a 1.5-T scanner, and computed fractional anisotropy and coherence measures to compare the white matter integrity of children born preterm to that of control subjects. The subjects for the preterm group (10.9 ± 0.29 y; n = 9; birth weight ≤ 1500 g; mean gestational age, 28.6 ± 1.05 wk) possessed attention deficits, a common problem in preterms. They were compared with age- and sex-matched control children (10.8 ± 0.33 y; n = 10; birth weight ≥ 2500; gestational age, ≥ 37 wk). We found that the preterm group had lower fractional anisotropy values in the posterior corpus callosum and bilaterally in the internal capsules. In the posterior corpus callosum this difference in fractional anisotropy values may partially be related to a difference in white matter volume between the groups. An analysis of the coherence measure failed to indicate a group difference in the axonal organization. These results are in agreement with previous diffusion tensor imaging findings in newborn preterm children, and indicate that ex-preterm children with attention deficits have white matter disturbances that are not compensated for or repaired before 11 y of age.

[1]  C. Fawer,et al.  Periventricular leukomalacia: a correlation study between real-time ultrasound and autopsy findings , 1985, Neuroradiology.

[2]  L. Jannoun,et al.  'Developmental risks and protective factors for influencing cognitive outcome at 5 1/2 years of age in very-low-birthweight children'. , 2003, Developmental medicine and child neurology.

[3]  H. Harrison Outcomes in young adulthood for very-low-birth-weight infants. , 2002, The New England journal of medicine.

[4]  Chiara Nosarti,et al.  Adolescents who were born very preterm have decreased brain volumes. , 2002, Brain : a journal of neurology.

[5]  Carl-Fredrik Westin,et al.  Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..

[6]  Stefan Skare,et al.  A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI , 2002, NeuroImage.

[7]  J. Perlman Neurology of the newborn, 4th edition: By Joseph J. Volpe, 912 pp., illustrated. Philadelphia: WB Saunders Company, 2001, $105.00 ISBN 0-7216-8448-3. , 2001 .

[8]  F. Cowan,et al.  Comparison of Findings on Cranial Ultrasound and Magnetic Resonance Imaging in Preterm Infants , 2001, Pediatrics.

[9]  R. Kikinis,et al.  Microstructural brain development after perinatal cerebral white matter injury assessed by diffusion tensor magnetic resonance imaging. , 2001, Pediatrics.

[10]  N. Marlow,et al.  Neurologic and developmental disability after extremely preterm birth. EPICure Study Group. , 2000, The New England journal of medicine.

[11]  S Skare,et al.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. , 2000, Journal of magnetic resonance.

[12]  Christopher J. Cannistraci,et al.  Regional brain volume abnormalities and long-term cognitive outcome in preterm infants. , 2000, JAMA.

[13]  R. Poldrack,et al.  Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability Evidence from Diffusion Tensor Magnetic Resonance Imaging , 2000, Neuron.

[14]  A. C. Primavesi Neurologic and Developmental Disability after Extremely Preterm Birth , 2000 .

[15]  R. Kikinis,et al.  Periventricular white matter injury in the premature infant is followed by reduced cerebral cortical gray matter volume at term , 1999, Annals of neurology.

[16]  M A Rutherford,et al.  Magnetic resonance imaging of the brain in a cohort of extremely preterm infants. , 1999, The Journal of pediatrics.

[17]  M. Horsfield,et al.  Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[18]  S C Williams,et al.  Non‐invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI , 1999, Magnetic resonance in medicine.

[19]  G M Bydder,et al.  Relationship between MR imaging and histopathologic findings of the brain in extremely sick preterm infants. , 1999, AJNR. American journal of neuroradiology.

[20]  D. Miller,et al.  Brain structure and neurocognitive and behavioural function in adolescents who were born very preterm , 1999, The Lancet.

[21]  J. Ashburner,et al.  Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.

[22]  J. Perlman,et al.  White matter injury in the preterm infant: an important determination of abnormal neurodevelopment outcome. , 1998, Early human development.

[23]  A. Snyder,et al.  Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging. , 1998, Radiology.

[24]  S. Maier,et al.  Microstructural Development of Human Newborn Cerebral White Matter Assessed in Vivo by Diffusion Tensor Magnetic Resonance Imaging , 1998, Pediatric Research.

[25]  M A Rutherford,et al.  Magnetic resonance imaging of the brain in very preterm infants: visualization of the germinal matrix, early myelination, and cortical folding. , 1998, Pediatrics.

[26]  H. Forssberg,et al.  The Stockholm Neonatal Project: very‐low‐birthweight infants of the late 20th century in Stockholm , 1997 .

[27]  H. Forssberg,et al.  Perinatal risk factors and neuromotor behaviour during the neonatal period , 1997, Acta paediatrica (Oslo, Norway : 1992). Supplement.

[28]  T. Tuvemo,et al.  Growth and subcutaneous fat during the first five years of insulin‐dependent diabetes in children , 1997, Acta paediatrica (Oslo, Norway : 1992). Supplement.

[29]  R. Harkness Is post‐hypoxic‐ischemic cell damage associated with excessive ATP consumption rather than a failure of ATP production? * , 1997, Acta paediatrica.

[30]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

[31]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[32]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[33]  Karl J. Friston,et al.  Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.

[34]  G. Escobar,et al.  Outcome among surviving very low birthweight infants: a meta-analysis. , 1991, Archives of disease in childhood.

[35]  J. Tsuruda,et al.  Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system. , 1990, Radiology.

[36]  O Flodmark,et al.  MR imaging of periventricular leukomalacia in childhood. , 1989, AJR. American journal of roentgenology.

[37]  L. Becker,et al.  Periventricular infarction diagnosed by ultrasound: a postmortem correlation. , 1984, The Journal of pediatrics.

[38]  J. Volpe,et al.  Hemorrhagic periventricular leukomalacia: diagnosis by real time ultrasound and correlation with autopsy findings. , 1982, Pediatrics.