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Dive into the research topics where Claudia A.M. Wheeler-Kingshott is active.

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Featured researches published by Claudia A.M. Wheeler-Kingshott.


Nature Neuroscience | 2003

Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

Timothy E. J. Behrens; Heidi Johansen-Berg; Mark W. Woolrich; Shubulade Smith; Claudia A.M. Wheeler-Kingshott; P A Boulby; G J Barker; E L Sillery; K Sheehan; Olga Ciccarelli; Alan J. Thompson; J M Brady; Paul M. Matthews

Evidence concerning anatomical connectivities in the human brain is sparse and based largely on limited post-mortem observations. Diffusion tensor imaging has previously been used to define large white-matter tracts in the living human brain, but this technique has had limited success in tracing pathways into gray matter. Here we identified specific connections between human thalamus and cortex using a novel probabilistic tractography algorithm with diffusion imaging data. Classification of thalamic gray matter based on cortical connectivity patterns revealed distinct subregions whose locations correspond to nuclei described previously in histological studies. The connections that we found between thalamus and cortex were similar to those reported for non-human primates and were reproducible between individuals. Our results provide the first quantitative demonstration of reliable inference of anatomical connectivity between human gray matter structures using diffusion data and the first connectivity-based segmentation of gray matter.


Journal of Magnetic Resonance Imaging | 2003

A Framework for a Streamline-Based Probabilistic Index of Connectivity (PICo) using a Structural Interpretation of MRI Diffusion Measurements.

Geoffrey J. M. Parker; Hamied A. Haroon; Claudia A.M. Wheeler-Kingshott

To establish a general methodology for quantifying streamline‐based diffusion fiber tracking methods in terms of probability of connection between points and/or regions.


NeuroImage | 2006

Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study

H. W. Robert Powell; Geoff J.M. Parker; Daniel C. Alexander; Mark R. Symms; Philip A. Boulby; Claudia A.M. Wheeler-Kingshott; Gareth J. Barker; Uta Noppeney; Matthias J. Koepp; John S. Duncan

Functional lateralization is a feature of human brain function, most apparent in the typical left-hemisphere specialization for language. A number of anatomical and imaging studies have examined whether structural asymmetries underlie this functional lateralization. We combined functional MRI (fMRI) and diffusion-weighted imaging (DWI) with tractography to study 10 healthy right-handed subjects. Three language fMRI paradigms were used to define language-related regions in inferior frontal and superior temporal regions. A probabilistic tractography technique was then employed to delineate the connections of these functionally defined regions. We demonstrated consistent connections between Brocas and Wernickes areas along the superior longitudinal fasciculus bilaterally but more extensive fronto-temporal connectivity on the left than the right. Both tract volumes and mean fractional anisotropy (FA) were significantly greater on the left than the right. We also demonstrated a correlation between measures of structure and function, with subjects with more lateralized fMRI activation having a more highly lateralized mean FA of their connections. These structural asymmetries are in keeping with the lateralization of language function and indicate the major structural connections underlying this function.


Neurology | 2001

Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations

O Ciccarelli; David J. Werring; Claudia A.M. Wheeler-Kingshott; Gareth J. Barker; Geoffrey J. M. Parker; Aj Thompson; Dh Miller

Objective: To quantitatively investigate water diffusion changes in normal-appearing white matter (NAWM) and gray matter in patients with MS, and to evaluate whether these changes are correlated with clinical disability and disease duration. Background: Diffusion tensor imaging provides quantitative information about the magnitude and directionality (anisotropy) of water diffusion in vivo and detects pathologic changes in MS brain tissue. Methods: Diffusion tensor imaging was performed in 39 patients with MS and in 21 age-matched control subjects. Quantitative indices, including fractional anisotropy, volume ratio, and mean diffusivity, were obtained in 30 regions of interest located in normal-appearing basal ganglia, cerebellar gray matter, and supratentorial and infratentorial NAWM. Results: Patients with MS showed significantly reduced anisotropy and a trend toward increased diffusivity in the infratentorial and supratentorial NAWM, and significantly increased anisotropy in the basal ganglia. In all patients with MS, both fractional anisotropy and mean diffusivity in the cerebral peduncles were inversely correlated with the Expanded Disability Status Scale and pyramidal functional scores. In patients with relapsing-remitting MS, there was a strong correlation between Expanded Disability Status Scale score and fractional anisotropy in both supratentorial and infratentorial NAWM. In primary and secondary progressive MS, disease duration correlated strongly with mean diffusivity in infratentorial NAWM and fractional anisotropy in the cerebral peduncles, respectively. Conclusion: The most striking finding of decreased fractional anisotropy in supratentorial and infratentorial NAWM and increased fractional anisotropy in basal ganglia may result from axonal degeneration due to fiber transection in remote focal lesions. Diffusion tensor imaging indices, in particular fractional anisotropy, appear sensitive to structural damage in NAWM that is associated with disability and progression in MS.


NeuroImage | 2003

Combined functional MRI and tractography to demonstrate the connectivity of the human primary motor cortex in vivo.

Maxime Guye; Geoffrey J. M. Parker; Mark R. Symms; Philip A. Boulby; Claudia A.M. Wheeler-Kingshott; Afraim Salek-Haddadi; Gareth J. Barker; John S. Duncan

In this study, we combined advanced MR techniques to explore primary motor cortex (M1) connectivity in the human brain. We matched functional and anatomical information using motor functional MRI (fMRI) and white matter tractography inferred from diffusion tensor imaging (DTI). We performed coregistered DTI and motor task fMRI in 8 right-handed healthy subjects and in 1 right-handed patient presenting with a left precentral tumour. We used the fast-marching tractography (FMT) algorithm to define 3D connectivity maps within the whole brain, from seed points selected in the white matter adjacent to the location of the maximum of fMRI activation. Connectivity maps were then anatomically normalised and analysed using statistical parametric mapping software (SPM99) allowing group comparisons (left versus right hemisphere in control subjects and patient versus control subjects). The results demonstrated, in all control subjects, strong connections from M1 to the pyramidal tracts, premotor areas, parietal cortices, thalamus, and cerebellum. M1 connectivity was asymmetric, being more extensive in the dominant hemisphere. The patient had differences in M1 connectivity from the control group. Thus, fMRI-correlated DTI-FMT is a promising tool to study the structural basis of functional networks in the human brain in vivo.


international conference information processing | 2002

Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging

Geoffrey J. M. Parker; Claudia A.M. Wheeler-Kingshott; Gareth J. Barker

A method is presented for determining paths of anatomical connection between regions of the brain using magnetic resonance diffusion tensor information. Level set theory, applied using fast marching methods, is used to generate three-dimensional time of arrival maps, from which connection paths between brain regions may be identified. The method is demonstrated in the normal brain and it is shown that major white matter tracts may be elucidated and that multiple connections and tract branching are allowed. Maps of connectivity between brain regions are also determined. Four options are described for estimating the degree of connectivity between regions.


NeuroImage | 2002

Investigating cervical spinal cord structure using axial diffusion tensor imaging.

Claudia A.M. Wheeler-Kingshott; Simon J. Hickman; Geoffrey J. M. Parker; Olga Ciccarelli; Mark R. Symms; David H. Miller; Gareth J. Barker

This study describes a new technique for Diffusion Tensor Imaging (DTI) that acquires axial (transverse) images of the cervical spinal cord. The DTI images depict axonal fiber orientation, enable quantification of diffusion characteristics along the spinal cord, and have the potential to demonstrate the connectivity of cord white matter tracts. Because of the high sensitivity to motion of diffusion-weighted magnetic resonance imaging and the small size of the spinal cord, a fast imaging method with high in-plane resolution was developed. Images were acquired with a single-shot EPI technique, named ZOOM-EPI (zonally magnified oblique multislice echo planar imaging), which selects localized areas and reduces artefacts caused by susceptibility changes between soft tissue and the adjacent vertebrae. Cardiac gating was used to reduce pulsatile flow artefacts from the surrounding cerebrospinal fluid. Voxel resolution was 1.25 x 1.25 mm(2) in-plane with 5-mm slice thickness. Both the mean diffusivity (MD) and the fractional anisotropy (FA) indices of the cervical spinal cord were measured. The FA index demonstrated high anisotropy of the spinal cord with an average value of 0.61 +/- 0.05 (highest value of 0.66 +/- 0.03 at C3), comparable to white matter tracts in the brain. The diffusivity components parallel and orthogonal to the longitudinal axes of the cord were lambda( parallel) = (1648 +/- 123) x 10(-6) mm(2)s(-1) and lambda( perpendicular) = (570 +/- 47) x 10(-6) mm(2) s(-1), respectively. The high axial resolution allowed preliminary evaluation of fiber connectivity using the fast-marching tractography algorithm, which generated traces of fiber paths consistent with the well-known cord anatomy.


Magnetic Resonance in Medicine | 2008

Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation

Klaus Schmierer; Claudia A.M. Wheeler-Kingshott; Daniel J. Tozer; Phil A. Boulby; Harold G. Parkes; Tarek A. Yousry; Francesco Scaravilli; Gareth J. Barker; Paul S. Tofts; David H. Miller

Unfixed and fixed postmortem multiple sclerosis (MS) brain is being used to probe pathology underlying quantitative MR (qMR) changes. Effects of fixation on qMR indices in MS brain are unknown. In 15 postmortem MS brain slices T1, T2, MT ratio (MTR), macromolecular proton fraction (fB), fractional anisotropy (FA), and mean, axial, and radial diffusivity (MD, Dax, and Drad) were assessed in white matter (WM) lesions (WML) and normal appearing WM (NAWM) before and after fixation in formalin. Myelin content, axonal count, and gliosis were quantified histologically. Students t‐test and regression were used for analysis. T1, T2, MTR, and fB obtained in unfixed MS brain were similar to published values obtained in patients with MS in vivo. Following fixation T1, T2 (NAWM, WML) and MTR (NAWM) dropped, whereas fB (NAWM, WML) increased. Compared to published in vivo data all diffusivity measures were lower in unfixed MS brain, and dropped further following fixation (except for FA). MTR was the best predictor of Tmyelin (inversely related to myelin) in unfixed MS brain (r = −0.83; P < 0.01) whereas postfixation T2 (r = 0.92; P < 0.01), T1 (r = 0.89; P < 0.01), and fB (r = −0.86; P < 0.01) were superior. All diffusivity measures (except for Dax in unfixed tissue) were predictors of myelin content. Magn Reson Med 59:268–277, 2008.


NeuroImage | 2004

Characterizing function–structure relationships in the human visual system with functional MRI and diffusion tensor imaging

Ahmed T. Toosy; Olga Ciccarelli; Geoff J.M. Parker; Claudia A.M. Wheeler-Kingshott; David H. Miller; Alan J. Thompson

A key objective in neuroscience is to improve our understanding of the relationship between brain function and structure. We investigated this in the posterior visual pathways of healthy volunteers by applying functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) with tractography. The optic radiations were segmented using the Probabilistic Index of Connectivity (PICo) tractography algorithm and extracted at several thresholds of connection confidence. The mean fractional anisotropy (FA) of the estimated tracts was found to correlate significantly with fMRI measures of visual cortex activity (induced by a photic stimulation paradigm). The results support the hypothesis that the visual cortical fMRI response is constrained by the external anatomical connections of the subserving optic radiations.


NeuroImage | 2007

Abnormalities of language networks in temporal lobe epilepsy

H. W. Robert Powell; Geoffrey J. M. Parker; Daniel C. Alexander; Mark R. Symms; Philip A. Boulby; Claudia A.M. Wheeler-Kingshott; Gareth J. Barker; Matthias J. Koepp; John S. Duncan

Functional magnetic resonance imaging (fMRI) in patients with temporal lobe epilepsy (TLE) has demonstrated reorganisation of language functions with greater involvement of the non-dominant hemisphere. The structural brain connections supporting this atypical language dominance have not previously been identified. We performed fMRI of language functions and imaging of white matter connections using MR tractography in 14 patients with unilateral TLE and hippocampal sclerosis and 10 controls. Verb generation and reading comprehension paradigms were used to define functional regions which were used to generate starting regions for tractography. Controls and right TLE patients had a left-lateralised pattern of both language-related activations and the associated structural connections. Left TLE patients showed more symmetrical language activations, along with reduced left hemisphere and increased right hemisphere structural connections. Subjects with more lateralised functional activation had also more highly lateralised connecting pathways. We provide evidence for structural reorganisation of white matter tracts that reflects the altered functional language lateralisation in left TLE patients. The combination of fMRI and tractography offers a promising tool for studying the reorganisation of language functions in many neurological conditions and may prove useful in predicting language deficits following temporal lobe surgery.

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David H. Miller

UCL Institute of Neurology

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Olga Ciccarelli

University College London

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Ahmed T. Toosy

UCL Institute of Neurology

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Declan Chard

National Institute for Health Research

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Dh Miller

University College London

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