Journal article

An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease

Gareth Ball, Serena J Counsell, Mustafa Anjari, Nazakat Merchant, Tomoki Arichi, Valentina Doria, Mary A Rutherford, A David Edwards, Daniel Rueckert, James P Boardman

NeuroImage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2010

Abstract

Preterm birth is associated with altered white matter microstructure, defined by metrics derived from diffusion tensor imaging (DTI). Tract-based spatial statistics (TBSS) is a useful tool for investigating developing white matter using DTI, but standard TBSS protocols have limitations for neonatal studies. We describe an optimised TBSS protocol for neonatal DTI data, in which registration errors are reduced. As chronic lung disease (CLD) is an independent risk factor for abnormal white matter development, we investigate the effect of this condition on white matter anisotropy and diffusivity using the optimised protocol in a proof of principle experiment. DTI data were acquired from 93 prete..

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Grants

Awarded by Engineering and Physical Sciences Research Council


Awarded by Medical Research Council


Awarded by National Institute for Health Research


Funding Acknowledgements

We are grateful for support from the Imperial College Healthcare Comprehensive Biomedical Research Centre Funding Scheme, the Medical Research Council (UK), the Academy of Medical Sciences, The Health Foundation and the Philips Medical Systems for research grant support. We thank the families who took part in the study and our colleagues in the Neonatal Intensive Care Unit at Hammersmith Hospital.