Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dimitrova:2021:cercor/bhab039,
author = {Dimitrova, R and Arulkumaran, S and Carney, O and Chew, A and Falconer, S and Ciarrusta, J and Wolfers, T and Batalle, D and Cordero-Grande, L and Price, AN and Teixeira, RPAG and Hughes, E and Egloff, A and Hutter, J and Makropoulos, A and Robinson, EC and Schuh, A and Vecchiato, K and Steinweg, JK and Macleod, R and Marquand, AF and McAlonan, G and Rutherford, MA and Counsell, SJ and Smith, SM and Rueckert, D and Hajnal, JV and O'Muircheartaigh, J and Edwards, AD},
doi = {cercor/bhab039},
journal = {Cerebral Cortex},
pages = {3665--3677},
title = {Phenotyping the preterm brain: characterizing individual deviations from normative volumetric development in two large infant cohorts},
url = {http://dx.doi.org/10.1093/cercor/bhab039},
volume = {31},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The diverse cerebral consequences of preterm birth create significant challenges for understanding pathogenesis or predicting later outcome. Instead of focusing on describing effects common to the group, comparing individual infants against robust normative data offers a powerful alternative to study brain maturation. Here we used Gaussian process regression to create normative curves characterizing brain volumetric development in 274 term-born infants, modeling for age at scan and sex. We then compared 89 preterm infants scanned at term-equivalent age with these normative charts, relating individual deviations from typical volumetric development to perinatal risk factors and later neurocognitive scores. To test generalizability, we used a second independent dataset comprising of 253 preterm infants scanned using different acquisition parameters and scanner. We describe rapid, nonuniform brain growth during the neonatal period. In both preterm cohorts, cerebral atypicalities were widespread, often multiple, and varied highly between individuals. Deviations from normative development were associated with respiratory support, nutrition, birth weight, and later neurocognition, demonstrating their clinical relevance. Group-level understanding of the preterm brain disguises a large degree of individual differences. We provide a method and normative dataset that offer a more precise characterization of the cerebral consequences of preterm birth by profiling the individual neonatal brain.
AU - Dimitrova,R
AU - Arulkumaran,S
AU - Carney,O
AU - Chew,A
AU - Falconer,S
AU - Ciarrusta,J
AU - Wolfers,T
AU - Batalle,D
AU - Cordero-Grande,L
AU - Price,AN
AU - Teixeira,RPAG
AU - Hughes,E
AU - Egloff,A
AU - Hutter,J
AU - Makropoulos,A
AU - Robinson,EC
AU - Schuh,A
AU - Vecchiato,K
AU - Steinweg,JK
AU - Macleod,R
AU - Marquand,AF
AU - McAlonan,G
AU - Rutherford,MA
AU - Counsell,SJ
AU - Smith,SM
AU - Rueckert,D
AU - Hajnal,JV
AU - O'Muircheartaigh,J
AU - Edwards,AD
DO - cercor/bhab039
EP - 3677
PY - 2021///
SN - 1047-3211
SP - 3665
TI - Phenotyping the preterm brain: characterizing individual deviations from normative volumetric development in two large infant cohorts
T2 - Cerebral Cortex
UR - http://dx.doi.org/10.1093/cercor/bhab039
UR - https://www.ncbi.nlm.nih.gov/pubmed/33822913
UR - https://academic.oup.com/cercor/article/31/8/3665/6206863
UR - http://hdl.handle.net/10044/1/87868
VL - 31
ER -