Diffusion Imaging in the Developing Brain

Serena J. Counsell; Gareth Ball; Anand Pandit; A. David Edwards

doi:10.1016/B978-0-12-396460-1.00013-5

Diffusion Imaging in the Developing Brain

Serena J. Counsell^*, Gareth Ball, Anand Pandit, A. David Edwards

^*Corresponding author for this work

Fédération d'anesthésiologie-réanimation et de médecine hyperbare, hôpital d'instruction des armées du Val-de-Grâce, 75005 Paris, France; Inserm U676, hôpital Robert-Debré, 48, boulevard Sérurier, 75019 Paris, France; Université Paris Diderot, Sorbonne Paris Cité, UMRS 676, 75013 Paris, France; Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, London, Royaume-Uni. Electronic address: vchhor@invivo.edu.
King's College London
Paediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Trust , London , UK ; Institute of Psychiatry, Psychology and Neuroscience, Kings College London , London , UK.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

The developing brain undergoes profound changes in the first weeks and months after birth, including decreases in water content, increases in cholesterol and glycolipids, changes in axonal caliber, oligodendrocyte proliferation and myelination. Obtaining high-quality diffusion MRI data in neonates can be challenging. Nevertheless, measures derived from diffusion MRI, such as fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values provide objective, reproducible indices to study infant brain development and pathology. Diffusion tractography allows a priori hypotheses regarding structure and function in specific white matter tracts to be tested. Voxel-based approaches to the analysis of diffusion MRI data, such as tract-based spatial statistics (TBSS), can be used as early imaging biomarkers for assessing diffuse white matter injury in the preterm brain and are now being used to assess efficacy of treatment in term infants following hypoxic ischemic encephalopathy.

Original language	English
Title of host publication	Diffusion MRI
Subtitle of host publication	From Quantitative Measurement to In vivo Neuroanatomy: Second Edition
Editors	Heidi Johansen-Berg, Timothy E. J. Behrens
Publisher	ELSEVIER ACADEMIC PRESS INC
Pages	283-300
Number of pages	18
ISBN (Print)	9780123964601
DOIs	https://doi.org/10.1016/B978-0-12-396460-1.00013-5
Publication status	Published - 1 Nov 2013

Keywords

DEHSI
Neurodevelopmental outcome
Perinatal brain injury
Periventricular leukomalacia
Preterm infants

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10.1016/B978-0-12-396460-1.00013-5

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abstract = "The developing brain undergoes profound changes in the first weeks and months after birth, including decreases in water content, increases in cholesterol and glycolipids, changes in axonal caliber, oligodendrocyte proliferation and myelination. Obtaining high-quality diffusion MRI data in neonates can be challenging. Nevertheless, measures derived from diffusion MRI, such as fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values provide objective, reproducible indices to study infant brain development and pathology. Diffusion tractography allows a priori hypotheses regarding structure and function in specific white matter tracts to be tested. Voxel-based approaches to the analysis of diffusion MRI data, such as tract-based spatial statistics (TBSS), can be used as early imaging biomarkers for assessing diffuse white matter injury in the preterm brain and are now being used to assess efficacy of treatment in term infants following hypoxic ischemic encephalopathy. ",

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Diffusion Imaging in the Developing Brain. / Counsell, Serena J.; Ball, Gareth; Pandit, Anand et al.
Diffusion MRI: From Quantitative Measurement to In vivo Neuroanatomy: Second Edition. ed. / Heidi Johansen-Berg; Timothy E. J. Behrens. ELSEVIER ACADEMIC PRESS INC, 2013. p. 283-300.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Edwards, A. David

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Diffusion Imaging in the Developing Brain

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Keywords

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