title: Cerebral cortex thickness in 15-year-old adolescents with low birth weight measured by an automated MRI-based method.
abstract: Infants with low birth weight are at increased risk of perinatal brain injury. Disruption of normal cortical development may have consequences for later motor, behavioural and cognitive development. The aim of this study was to measure cerebral cortical thickness, area and volume with an automated MRI technique in 15-year-old adolescents who had low birth weight. Cerebral MRI for morphometric analysis was performed on 50 very low birth weight (VLBW, birth weight </=1500 g), 49 term small for gestational age births (SGA, birth weight <10th percentile at term) and 58 control adolescents. A novel method of cortical surface models yielded measurements of cortical thickness and area for each subject's entire brain and computed cross-subject statistics based on cortical anatomy. The cortical surface models demonstrated regional thinning of the parietal, temporal and occipital lobes in the VLBW group, whereas regional thickening was demonstrated in the frontal and occipital lobes. The areas of change were greatest in those with the shortest gestational age at birth and lowest birth weight. Cortical surface area and cortical volume were lower in the VLBW than in the Control group. Within the VLBW group, there was an association between surface area and estimation of the intelligence quotient IQ (IQ(est)) and between cortical volume and IQ(est). Furthermore, cortical grey matter as a proportion of brain volume was significantly lower in the VLBW, but not in the SGA group compared with Controls. This observed reorganization of the developing brain offers a unique opportunity to investigate any relationship between changes in cortical anatomy and cognitive and social impairments, and the increase in psychiatric disorders that have been found in VLBW children and adolescents.
authors.affiliation: Nuclear Magnetic Resonance Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. marit.martinussen@ntnu.no
authors.forename: M
authors.initials: M
authors.lastname: Martinussen
authors.forename: B
authors.initials: B
authors.lastname: Fischl
authors.forename: H B
authors.initials: HB
authors.lastname: Larsson
authors.forename: J
authors.initials: J
authors.lastname: Skranes
authors.forename: S
authors.initials: S
authors.lastname: Kulseng
authors.forename: T R
authors.initials: TR
authors.lastname: Vangberg
authors.forename: T
authors.initials: T
authors.lastname: Vik
authors.forename: A-M
authors.initials: AM
authors.lastname: Brubakk
authors.forename: O
authors.initials: O
authors.lastname: Haraldseth
authors.forename: A M
authors.initials: AM
authors.lastname: Dale
mesh_terms: D000293:Adolescent; D001724:Birth Weight; D001931:Brain Mapping / Q000379:methods; D002508:Cephalometry / Q000379:methods; D002540:Cerebral Cortex / Q000254:growth & development / Q000473:pathology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D007236:Infant, Small for Gestational Age; D019102:Infant, Very Low Birth Weight; D007360:Intelligence; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male