Literature DB >> 16123146

Cerebral cortex thickness in 15-year-old adolescents with low birth weight measured by an automated MRI-based method.

M Martinussen1, B Fischl, H B Larsson, J Skranes, S Kulseng, T R Vangberg, T Vik, A-M Brubakk, O Haraldseth, A M Dale.   

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.

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Year:  2005        PMID: 16123146     DOI: 10.1093/brain/awh610

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  60 in total

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4.  Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins.

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Journal:  Hum Brain Mapp       Date:  2016-12-29       Impact factor: 5.038

5.  Normal birth weight variation is related to cortical morphology across the psychosis spectrum.

Authors:  Unn K Haukvik; Lars M Rimol; J Cooper Roddey; Cecilie B Hartberg; Elisabeth H Lange; Anja Vaskinn; Ingrid Melle; Ole A Andreassen; Anders Dale; Ingrid Agartz
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6.  Converging function, structure, and behavioural features of emotion regulation in very preterm children.

Authors:  Charline Urbain; Julie Sato; Christopher Hammill; Emma G Duerden; Margot J Taylor
Journal:  Hum Brain Mapp       Date:  2019-05-06       Impact factor: 5.038

7.  Rapid Infant Prefrontal Cortex Development and Sensitivity to Early Environmental Experience.

Authors:  Amanda S Hodel
Journal:  Dev Rev       Date:  2018-03-11

8.  Development and aging of cortical thickness correspond to genetic organization patterns.

Authors:  Anders M Fjell; Håkon Grydeland; Stine K Krogsrud; Inge Amlien; Darius A Rohani; Lia Ferschmann; Andreas B Storsve; Christian K Tamnes; Roser Sala-Llonch; Paulina Due-Tønnessen; Atle Bjørnerud; Anne Elisabeth Sølsnes; Asta K Håberg; Jon Skranes; Hauke Bartsch; Chi-Hua Chen; Wesley K Thompson; Matthew S Panizzon; William S Kremen; Anders M Dale; Kristine B Walhovd
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

9.  The encephalopathy of prematurity: one pediatric neuropathologist's perspective.

Authors:  Hannah C Kinney
Journal:  Semin Pediatr Neurol       Date:  2009-12       Impact factor: 1.636

Review 10.  The encephalopathy of prematurity--brain injury and impaired brain development inextricably intertwined.

Authors:  Joseph J Volpe
Journal:  Semin Pediatr Neurol       Date:  2009-12       Impact factor: 1.636

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