Yong-Ho Choi1, Jong-Min Lee1, Joo Young Lee2,3, Ji Young Lee4, Young-Jun Lee4, Ja Hye Ahn2,3, Hyun Ju Lee5,6. 1. Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea. 2. Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea. 3. Division of Neonatology and Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea. 4. Department of Radiology, Hanyang University College of Medicine, Seoul, Republic of Korea. 5. Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea, blesslee77@hanmail.net. 6. Division of Neonatology and Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea, blesslee77@hanmail.net.
Abstract
BACKGROUND: The infant brain grows quickly with elaborate microstructural development during the neonatal period. The white matter, during critical periods of development, is selectively vulnerable to altered maturation and impaired growth in very-low-birth-weight (VLBW) infants. OBJECTIVE: To evaluate whether abnormal white matter maturation in VLBW infants is associated with poor neurodevelopmental outcomes at 18 months of corrected age. METHODS: Between 2015 and 2017, we recruited 60 VLBW infants at 24-32 weeks of gestational age and 15 full-term controls. All participants underwent magnetic resonance imaging at near-term age and were assessed at 18 months of corrected age with the Bayley Scales of Infant and Toddler Development, Third Edition. The associations between regional white matter fractional anisotropy (FA) and mean diffusivity on diffusion tensor imaging (DTI) and developmental outcomes were explored using multivariable linear regression after correcting for gestational age, postmenstrual age at DTI scan, and maternal education level. RESULTS: The FA values of the splenium of the corpus callosum (p = 0.032), corticospinal tract (p = 0.025), middle cerebellar peduncle (MCP) (p < 0.001), and cingulum (p = 0.043) were significantly related to cognitive scores; however, only the association corresponding to the MCP remained significant after correcting for multiple comparisons. The MCP FA (p = 0.008) was associated with motor scores after correction for multiple comparisons (p = 0.008). Cognitive impairment (area under the curve [AUC] = 0.823, 95% confidence interval [CI] = 0.722-0.911) and motor impairment (AUC = 0.776, 95% CI = 0.656-0.899) were predicted by MCP FA. CONCLUSIONS: The FA of MCP at near-term age may predict developmental outcomes of VLBW infants at 18 months of corrected age.
BACKGROUND: The infant brain grows quickly with elaborate microstructural development during the neonatal period. The white matter, during critical periods of development, is selectively vulnerable to altered maturation and impaired growth in very-low-birth-weight (VLBW) infants. OBJECTIVE: To evaluate whether abnormal white matter maturation in VLBW infants is associated with poor neurodevelopmental outcomes at 18 months of corrected age. METHODS: Between 2015 and 2017, we recruited 60 VLBW infants at 24-32 weeks of gestational age and 15 full-term controls. All participants underwent magnetic resonance imaging at near-term age and were assessed at 18 months of corrected age with the Bayley Scales of Infant and Toddler Development, Third Edition. The associations between regional white matter fractional anisotropy (FA) and mean diffusivity on diffusion tensor imaging (DTI) and developmental outcomes were explored using multivariable linear regression after correcting for gestational age, postmenstrual age at DTI scan, and maternal education level. RESULTS: The FA values of the splenium of the corpus callosum (p = 0.032), corticospinal tract (p = 0.025), middle cerebellar peduncle (MCP) (p < 0.001), and cingulum (p = 0.043) were significantly related to cognitive scores; however, only the association corresponding to the MCP remained significant after correcting for multiple comparisons. The MCP FA (p = 0.008) was associated with motor scores after correction for multiple comparisons (p = 0.008). Cognitive impairment (area under the curve [AUC] = 0.823, 95% confidence interval [CI] = 0.722-0.911) and motor impairment (AUC = 0.776, 95% CI = 0.656-0.899) were predicted by MCP FA. CONCLUSIONS: The FA of MCP at near-term age may predict developmental outcomes of VLBW infants at 18 months of corrected age.
Authors: Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang Journal: Neuroimage Date: 2011-01-26 Impact factor: 6.556
Authors: Myriam Peralta-Carcelen; Waldemar A Carlo; Athina Pappas; Yvonne E Vaucher; Keith Owen Yeates; Vivien A Phillips; Kathryn E Gustafson; Allison H Payne; Andrea F Duncan; Jamie E Newman; Carla M Bann Journal: Pediatrics Date: 2017-06 Impact factor: 7.124
Authors: Jessica Rose; Katelyn Cahill-Rowley; Rachel Vassar; Kristen W Yeom; Ximena Stecher; David K Stevenson; Susan R Hintz; Naama Barnea-Goraly Journal: Pediatr Res Date: 2015-08-31 Impact factor: 3.756
Authors: Katelyn Cahill-Rowley; Kornél Schadl; Rachel Vassar; Kristen W Yeom; David K Stevenson; Jessica Rose Journal: Front Hum Neurosci Date: 2019-09-18 Impact factor: 3.169
Authors: Maria E Barnes-Davis; Brady J Williamson; Stephanie L Merhar; Usha D Nagaraj; Nehal A Parikh; Darren S Kadis Journal: Front Pediatr Date: 2022-03-18 Impact factor: 3.418