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Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI

Adler, S; Lorio, S; Jacques, TS; Benova, B; Gunny, R; Cross, JH; Baldeweg, T; (2017) Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI. NeuroImage: Clinical , 15 pp. 95-105. 10.1016/j.nicl.2017.04.017. Green open access

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Abstract

Focal cortical dysplasias (FCDs) are a range of malformations of cortical development each with specific histopathological features. Conventional radiological assessment of standard structural MRI is useful for the localization of lesions but is unable to accurately predict the histopathological features. Quantitative MRI offers the possibility to probe tissue biophysical properties in vivo and may bridge the gap between radiological assessment and ex-vivo histology. This review will cover histological, genetic and radiological features of FCD following the ILAE classification and will explain how quantitative voxel- and surface-based techniques can characterise these features. We will provide an overview of the quantitative MRI measures available, their link with biophysical properties and finally the potential application of quantitative MRI to the problem of FCD subtyping. Future research linking quantitative MRI to FCD histological properties should improve clinical protocols, allow better characterisation of lesions in vivo and tailored surgical planning to the individual.

Type: Article
Title: Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.nicl.2017.04.017
Publisher version: http://doi.org/10.1016/j.nicl.2017.04.017
Language: English
Additional information: Copyright © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Biophysical tissue properties, Epilepsy surgery, Focal cortical dysplasia, Histology, MRI, Malformation of cortical development, Quantitative MRI, Quantitative mapping, Radiology, qMRI
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Development Bio and Cancer Prog
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Developmental Neurosciences Prog
URI: http://discovery.ucl.ac.uk/id/eprint/1556570
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