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Dive into the research topics where Gavin P. Winston is active.

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Featured researches published by Gavin P. Winston.


Annals of Neurology | 2012

Optic radiation tractography and vision in anterior temporal lobe resection

Gavin P. Winston; Pankaj Daga; Jason Stretton; Marc Modat; Mark R. Symms; Andrew W. McEvoy; Sebastien Ourselin; John S. Duncan

Anterior temporal lobe resection (ATLR) is an effective treatment for refractory temporal lobe epilepsy but may result in a contralateral superior visual field deficit (VFD) that precludes driving in the seizure‐free patient. Diffusion tensor imaging (DTI) tractography can delineate the optic radiation preoperatively and stratify risk. It would be advantageous to incorporate display of tracts into interventional magnetic resonance imaging (MRI) to guide surgery.


Epilepsy Research | 2014

Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy

Gavin P. Winston; Caroline Micallef; Mark R. Symms; Daniel C. Alexander; John S. Duncan; Hui Zhang

Highlights • Malformations of cortical development are a common cause of refractory epilepsy.• They are often invisible on structural imaging and only detected following surgery.• We assess a novel diffusion imaging technique (NODDI) in patients with dysplasia.• This shows more conspicuous changes than other clinical or diffusion scans.• This technique may assist the identification of FCD in patients with epilepsy.


Journal of medical imaging | 2014

Global image registration using a symmetric block-matching approach

Marc Modat; David M. Cash; Pankaj Daga; Gavin P. Winston; John S. Duncan; Sebastien Ourselin

Abstract. Most medical image registration algorithms suffer from a directionality bias that has been shown to largely impact subsequent analyses. Several approaches have been proposed in the literature to address this bias in the context of nonlinear registration, but little work has been done for global registration. We propose a symmetric approach based on a block-matching technique and least-trimmed square regression. The proposed method is suitable for multimodal registration and is robust to outliers in the input images. The symmetric framework is compared with the original asymmetric block-matching technique and is shown to outperform it in terms of accuracy and robustness. The methodology presented in this article has been made available to the community as part of the NiftyReg open-source package.


Brain | 2013

A functional magnetic resonance imaging study mapping the episodic memory encoding network in temporal lobe epilepsy

Meneka K. Sidhu; Jason Stretton; Gavin P. Winston; S Bonelli; Maria Centeno; Christian Vollmar; Mark R. Symms; Pamela J. Thompson; Matthias J. Koepp; John S. Duncan

Functional magnetic resonance imaging has demonstrated reorganization of memory encoding networks within the temporal lobe in temporal lobe epilepsy, but little is known of the extra-temporal networks in these patients. We investigated the temporal and extra-temporal reorganization of memory encoding networks in refractory temporal lobe epilepsy and the neural correlates of successful subsequent memory formation. We studied 44 patients with unilateral temporal lobe epilepsy and hippocampal sclerosis (24 left) and 26 healthy control subjects. All participants performed a functional magnetic resonance imaging memory encoding paradigm of faces and words with subsequent out-of-scanner recognition assessments. A blocked analysis was used to investigate activations during encoding and neural correlates of subsequent memory were investigated using an event-related analysis. Event-related activations were then correlated with out-of-scanner verbal and visual memory scores. During word encoding, control subjects activated the left prefrontal cortex and left hippocampus whereas patients with left hippocampal sclerosis showed significant additional right temporal and extra-temporal activations. Control subjects displayed subsequent verbal memory effects within left parahippocampal gyrus, left orbitofrontal cortex and fusiform gyrus whereas patients with left hippocampal sclerosis activated only right posterior hippocampus, parahippocampus and fusiform gyrus. Correlational analysis showed that patients with left hippocampal sclerosis with better verbal memory additionally activated left orbitofrontal cortex, anterior cingulate cortex and left posterior hippocampus. During face encoding, control subjects showed right lateralized prefrontal cortex and bilateral hippocampal activations. Patients with right hippocampal sclerosis showed increased temporal activations within the superior temporal gyri bilaterally and no increased extra-temporal areas of activation compared with control subjects. Control subjects showed subsequent visual memory effects within right amygdala, hippocampus, fusiform gyrus and orbitofrontal cortex. Patients with right hippocampal sclerosis showed subsequent visual memory effects within right posterior hippocampus, parahippocampal and fusiform gyri, and predominantly left hemisphere extra-temporal activations within the insula and orbitofrontal cortex. Correlational analysis showed that patients with right hippocampal sclerosis with better visual memory activated the amygdala bilaterally, right anterior parahippocampal gyrus and left insula. Right sided extra-temporal areas of reorganization observed in patients with left hippocampal sclerosis during word encoding and bilateral lateral temporal reorganization in patients with right hippocampal sclerosis during face encoding were not associated with subsequent memory formation. Reorganization within the medial temporal lobe, however, is an efficient process. The orbitofrontal cortex is critical to subsequent memory formation in control subjects and patients. Activations within anterior cingulum and insula correlated with better verbal and visual subsequent memory in patients with left and right hippocampal sclerosis, respectively, representing effective extra-temporal recruitment.


Lancet Neurology | 2016

Brain imaging in the assessment for epilepsy surgery

John S. Duncan; Gavin P. Winston; Matthias J. Koepp; Sebastien Ourselin

Brain imaging has a crucial role in the presurgical assessment of patients with epilepsy. Structural imaging reveals most cerebral lesions underlying focal epilepsy. Advances in MRI acquisitions including diffusion-weighted imaging, post-acquisition image processing techniques, and quantification of imaging data are increasing the accuracy of lesion detection. Functional MRI can be used to identify areas of the cortex that are essential for language, motor function, and memory, and tractography can reveal white matter tracts that are vital for these functions, thus reducing the risk of epilepsy surgery causing new morbidities. PET, SPECT, simultaneous EEG and functional MRI, and electrical and magnetic source imaging can be used to infer the localisation of epileptic foci and assist in the design of intracranial EEG recording strategies. Progress in semi-automated methods to register imaging data into a common space is enabling the creation of multimodal three-dimensional patient-specific datasets. These techniques show promise for the demonstration of the complex relations between normal and abnormal structural and functional data and could be used to direct precise intracranial navigation and surgery for individual patients.


Quantitative imaging in medicine and surgery | 2012

The physical and biological basis of quantitative parameters derived from diffusion MRI

Gavin P. Winston

Diffusion magnetic resonance imaging is a quantitative imaging technique that measures the underlying molecular diffusion of protons. Diffusion-weighted imaging (DWI) quantifies the apparent diffusion coefficient (ADC) which was first used to detect early ischemic stroke. However this does not take account of the directional dependence of diffusion seen in biological systems (anisotropy).Diffusion tensor imaging (DTI) provides a mathematical model of diffusion anisotropy and is widely used. Parameters, including fractional anisotropy (FA), mean diffusivity (MD), parallel and perpendicular diffusivity can be derived to provide sensitive, but non-specific, measures of altered tissue structure. They are typically assessed in clinical studies by voxel-based or region-of-interest based analyses.The increasing recognition of the limitations of the diffusion tensor model has led to more complex multi-compartment models such as CHARMED, AxCaliber or NODDI being developed to estimate microstructural parameters including axonal diameter, axonal density and fiber orientations. However these are not yet in routine clinical use due to lengthy acquisition times.In this review, I discuss how molecular diffusion may be measured using diffusion MRI, the biological and physical bases for the parameters derived from DWI and DTI, how these are used in clinical studies and the prospect of more complex tissue models providing helpful micro-structural information.


Epilepsia | 2011

Diffusion tensor imaging tractography to visualize the relationship of the optic radiation to epileptogenic lesions prior to neurosurgery

Gavin P. Winston; M Yogarajah; Mark R. Symms; Andrew W. McEvoy; Caroline Micallef; John S. Duncan

Purpose:  About one‐third of patients with epilepsy are refractory to medical treatment and may be amenable to surgery. However, in patients with lesions on or near the presumed course of the optic radiation, the potential benefits of resection must be balanced against the risk of a visual field deficit. This study demonstrates the utility of diffusion tensor imaging (DTI) tractography in delineating the course of the optic radiation and its relationship to the epileptogenic lesion prior to epilepsy surgery.


NeuroImage | 2012

Neural correlates of working memory in Temporal Lobe Epilepsy — An fMRI study

Jason Stretton; Gavin P. Winston; Meneka K. Sidhu; Maria Centeno; Christian Vollmar; S Bonelli; Mark R. Symms; Matthias J. Koepp; John S. Duncan; Pamela J. Thompson

It has traditionally been held that the hippocampus is not part of the neural substrate of working memory (WM), and that WM is preserved in Temporal Lobe Epilepsy (TLE). Recent imaging and neuropsychological data suggest this view may need revision. The aim of this study was to investigate the neural correlates of WM in TLE using functional MRI (fMRI). We used a visuo-spatial ‘n-back’ paradigm to compare WM network activity in 38 unilateral hippocampal sclerosis (HS) patients (19 left) and 15 healthy controls. WM performance was impaired in both left and right HS groups compared to controls. The TLE groups showed reduced right superior parietal lobe activity during single- and multiple-item WM. No significant hippocampal activation was found during the active task in any group, but the hippocampi progressively deactivated as the task demand increased. This effect was bilateral for controls, whereas the TLE patients showed progressive unilateral deactivation only contralateral to the side of the hippocampal sclerosis and seizure focus. Progressive deactivation of the posterior medial temporal lobe was associated with better performance in all groups. Our results suggest that WM is impaired in unilateral HS and the underlying neural correlates of WM are disrupted. Our findings suggest that hippocampal activity is progressively suppressed as the WM load increases, with maintenance of good performance. Implications for understanding the role of the hippocampus in WM are discussed.


Epilepsia | 2013

Structural correlates of impaired working memory in hippocampal sclerosis

Gavin P. Winston; Jason Stretton; Meneka K. Sidhu; Mark R. Symms; Pamela J. Thompson; John S. Duncan

Temporal lobe epilepsy (TLE) has been considered to impair long‐term memory, whilst not affecting working memory, but recent evidence suggests that working memory is compromised. Functional MRI (fMRI) studies demonstrate that working memory involves a bilateral frontoparietal network the activation of which is disrupted in hippocampal sclerosis (HS). A specific role of the hippocampus to deactivate during working memory has been proposed with this mechanism faulty in patients with HS. Structural correlates of disrupted working memory in HS have not been explored.


Epilepsy Research | 2011

Diffusion tensor imaging tractography of the optic radiation for epilepsy surgical planning: A comparison of two methods

Gavin P. Winston; Laura Mancini; Jason Stretton; Jonathan Ashmore; Mark R. Symms; John S. Duncan; Tarek A. Yousry

Summary The optic radiation is a key white matter structure at risk during epilepsy surgery involving the temporal, parietal or occipital lobes. It shows considerable anatomical variability, cannot be delineated on clinical MRI sequences and damage may cause a disabling visual field deficit. Diffusion tensor imaging tractography allows non-invasive mapping of this pathway. Numerous methods have been published but direct comparison is difficult as patient, acquisition and analysis parameters differ. Two methods for delineating the optic radiation were applied to 6 healthy controls and 4 patients with epileptogenic lesions near the optic radiation. By comparing methods with the same datasets, many of the parameters could be controlled. The first method was previously developed to accurately identify Meyers loop for planning anterior temporal lobe resection. The second aimed to address limitations of this method by using a more automated technique to reduce operator time and to depict the entire optic radiation. Whilst the core of the tract was common to both methods, there was significant variability between the methods. Method 1 gave a more consistent depiction of Meyers loop with fewer spurious tracts. Method 2 gave a better depiction of the entire optic radiation, particularly in more posterior portions, but did not identify Meyers loop in one patient. These results show that whilst tractography is a promising technique, there is significant variability depending on the method chosen even when the majority of parameters are fixed. Different methods may need to be chosen for surgical planning depending on the individual clinical situation.

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Jason Stretton

UCL Institute of Neurology

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Meneka K. Sidhu

UCL Institute of Neurology

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Andrew W. McEvoy

UCL Institute of Neurology

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Matthias J. Koepp

UCL Institute of Neurology

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Mark R. Symms

UCL Institute of Neurology

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Marc Modat

University College London

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Pankaj Daga

University College London

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