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Winston GP. The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy. Quant Imaging Med Surg. 2015;5(2):279-87doi: 10.3978/j.issn.2223-4292.2015.02.03.
Winston, G. P. (2015). The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy. Quantitative imaging in medicine and surgery, 5(2), 279-87. https://doi.org/10.3978/j.issn.2223-4292.2015.02.03
Winston, Gavin P. "The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy." Quantitative imaging in medicine and surgery vol. 5,2 (2015): 279-87. doi: https://doi.org/10.3978/j.issn.2223-4292.2015.02.03
Winston GP. The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy. Quant Imaging Med Surg. 2015 Apr;5(2):279-87. doi: 10.3978/j.issn.2223-4292.2015.02.03. PMID: 25853085; PMCID: PMC4379320.
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Quant Imaging Med Surg. 2015 Apr;5(2):279-87. doi: 10.3978/j.issn.2223-4292.2015.02.03.

The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy.

Quantitative imaging in medicine and surgery

Gavin P Winston

Affiliations

  1. 1 Epilepsy Society MRI Unit, Chesham Lane, Chalfont St Peter, Bucks SL9 0RJ, UK ; 2 Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK.

PMID: 25853085 PMCID: PMC4379320 DOI: 10.3978/j.issn.2223-4292.2015.02.03

Abstract

Epilepsy is a common neurological disorder in which magnetic resonance imaging plays a key role. Diffusion imaging based on the molecular diffusion of water has been widely used clinically and in research for patients with epilepsy. Diffusion tensor imaging (DTI), the most common model, has been used for around two decades. Several parameters can be derived from DTI that are sensitive, but non-specific, to underlying structural changes. DTI assumes a single diffusion process following a Gaussian distribution within each voxel and is thus an overly simplistic representation of tissue microstructure. Several more advanced models of diffusion are now available that may have greater utility in the understanding of the effects of epilepsy on tissue microstructure. In this review, I summarise the principles, applications in epilepsy and future potential of three such techniques. Diffusion kurtosis imaging (DKI) characterises the degree to which diffusion deviates from Gaussian behaviour and gives an idea of the underlying tissue complexity. It has been used in both focal and generalised epilepsy and seems more sensitive than DTI. Multi-compartment models separate the signal from extra- and intra-axonal compartments in each voxel. The Composite Hindered and Restricted Model of Diffusion (CHARMED) can characterise axonal density but has not yet been applied in patients with epilepsy. The Neurite Orientation Dispersion and Density Imaging (NODDI) model can determine the intracellular volume fraction (ICVF) and degree of dispersion of neurite orientation. Preliminary data suggest it may more sensitive than conventional and diffusion imaging in localising focal epilepsy.

Keywords: Epilepsy; Neurite Orientation Dispersion and Density Imaging (NODDI); diffusion imaging; diffusion kurtosis imaging (DKI); diffusion tensor imaging (DTI); epilepsy surgery

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